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Job DescriptionCompany Description Teleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We’ve been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we’ve become the world’s largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to hand-arrange and hand deliver every bouquet! We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows. This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is the ability to translate complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results, while not owning test execution. This position will be based at our Oklahoma, OK office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday. *Local Candidates Only Job Description Forecasting & Budgeting (Core Ownership) • Own forecasting models for:, • Revenue, orders, conversion rates, and AOV, • Marketing performance and demand planning, • Partner with Finance and Leadership on budgeting and planning cycles, • Build scenario models to support strategic decisions, • Continuously improve forecast accuracy using statistical and machine learning techniques Customer & LTV Modeling (Core Requirement) • Design and maintain Customer Lifetime Value (LTV) models, • Perform cohort analysis, retention modeling, and customer segmentation, • Identify key drivers of long-term customer value and profitability, • Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategies AI / LLM Strategy & Implementation • Lead adoption of AI/LLM capabilities across analytics and business workflows, • Identify and implement use cases such as:, • Automated insight generation and reporting, • Natural language querying (NL → SQL), • Customer behavior summarization and segmentation, • Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.), • Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevance Advanced Analytics & Modeling • Develop models for:, • Demand forecasting and seasonality, • Customer behavior and conversion drivers, • Leverage GCP/BigQuery for large-scale data analysis, • Identify key drivers of performance across product, pricing, and customer behavior A/B Test Validation & Experimentation Support • Validate statistical significance and methodology of A/B tests, • Ensure accuracy and consistency of test readouts, • Define guardrails and best practices for experimentation measurement, • Partner with Product and Analytics teams (without owning test execution) Communication & Executive Storytelling (Critical) • Translate complex analyses into clear, actionable insights for non-technical stakeholders, • Develop high-quality presentations and narratives for senior leadership and executives, • Clearly articulate assumptions, risks, and confidence levels in models and forecasts, • Influence decision-making through structured, data-driven storytelling Data Strategy & Cross-Functional Collaboration • Work closely with:, • Data Analytics Manager (India), • Data Engineering / DW team, • Product, Marketing, and Finance stakeholders, • Help define scalable data models and structures to support analytics and AI use cases Tooling & Infrastructure • Build models and workflows using:, • Python (preferred) or R, • SQL / BigQuery (GCP ecosystem), • Work with modern AI tooling:, • LLM APIs (OpenAI, Claude, Gemini), • Help establish scalable pipelines for both traditional ML and LLM-based systems, • Establish best practices for prompt design, validation, and governanceQualifications, • 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business), • Experience presenting to senior executives and driving decisions, • Strong experience with:, • Forecasting and time series modeling, • Customer Lifetime Value (LTV) modeling, • Python and SQL (BigQuery preferred), • Statistical analysis and experimentation, • Proven ability to build executive-level presentations and communicate complex insights clearly, • Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.), • Experience building or prototyping AI-powered workflows or applications, • Strong ability to evaluate and validate AI-generated outputs for accuracy and plausibility, • Understanding of:, • Prompt engineering, • Model limitations (hallucination, bias, cost tradeoffs), • Excellent verbal and written communication skills, • Ability to influence stakeholders across Product, Marketing, Finance, and Leadership, • Master's degree (or foreign equivalent) in Data Science or Statistics Preferred: • Experience with GCP ecosystem, • Exposure to MLOps or productionizing models, • Experience in eCommerce or high-volume consumer environments Additional Information • Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including:, • 24/7 online physician consultations, • virtual mental health resources, • life coaching, • engaging employee community groups, • cash rewards for healthy habits and fitness reimbursements, • library of on-demand fitness videos, • Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units., • Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses., • Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward., • Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace., • Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness, community development, and sustainability initiatives across California’s Central Valley, Fiji, and the world. In 2025, Wonderful ranked as #1 in PEOPLE’s “100 Companies That Care” list and was named one of Fortune magazine’s 100 Best Companies to Work For. To learn more about our corporate social responsibility efforts, visit csr.wonderful.com., • Giving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities. Say everything and share your "Love Out Loud™" with the gift of Teleflora® flowers—all made by hand and delivered by hand by your local florist. With more than 10,000 member florists in North America alone, Teleflora offers the kind of personal touches, artistry and expertise you expect from a trusted neighborhood florist—even if that neighborhood is across the country. No prepackaged flowers in nondescript boxes dropped on your doorstep—Teleflora's network of professional florists creates artistic arrangements personally delivered in a vase, often on the same day. Teleflora makes every day an occasion with a two-in-one gift that includes a multipurpose keepsake container for long-lasting enjoyment. For more, visit: www.teleflora.com, or follow us on Instagram and Facebook and tag your own #LoveOutLoud moment. Telefora is part of The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Company’s connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley. To view the current Corporate Social Responsibility report, visit csr.wonderful.com. The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories. #LI-JB1 EEO is the law - click here for more information

Job Description Position Overview: Wheeler Bio is seeking a motivated analytical mind with a passion for problem solving, fast-paced environments, and expertise in protein mass spectrometry to join the analytical team. The Analytical Development Scientist will participate in the development of robust analytical techniques designed for seamless transition to a quality control environment in a manner to emphasize “right first time” and prolonged success. The position will require broad scientific knowledge of bioanalytical techniques that are used to assess and characterize proteins with a focus on monoclonal antibodies. Key Responsibilities: 1. Analytical program management: · Manages client analytical programs with a focus on quality and timeline. · Leads analytical method development, transfer, and qualification of robust, fit-for-purpose methods to support cGMP testing. · Designs, participates in, and reviews required analytical testing according to pre-defined plans and protocols. · Writes and reviews analytical plans, protocols, SOPs, and summary reports. · Leads transfer of analytical methods to Quality Control. · Collaborates with team members and clients to troubleshoot and solve complex problems to meet project needs. 1. Data analysis and communication: · Possesses advanced knowledge of protein biochemistry, analysis, and associated techniques. · Independently uses and applies complex instrumentation, computer systems, and software for data acquisition and analysis. · Applies knowledge and expertise to critically evaluate data, summarize results, and generate thorough reports. · Clearly presents scientific information to senior management, external customers, and/or internal customers · Generates SME content and technical documents (memos, development reports, white papers, presentations etc.). 1. Continuous improvement: · Integrates ongoing quality and operational improvement strategies into workflows. · Actively expands scientific expertise to encompass multiple analytical modalities. · Stays abreast of new technologies in the field. · Leads development of new analytical methods, processes, or technologies. 1. Training and personnel management: · May oversee team of Analytical Development Associates · Trains and provides guidance to team members and peers · As appropriate, leads or participates in training Quality Control, Process Development, and Manufacturing teams performing analytical techniques. 1. Other duties as assigned. Qualifications: Preferred PhD degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with previous industry experience. PhD degree with no prior experience or Master’s Degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with at least 2 years of relevant experience will be given consideration. Advanced knowledge of and experience in protein mass spectrometry (e.g. intact mass, peptide mapping) is strongly preferred.

Job Description Location: Oklahoma City, OK Department: Process Development Job Type: Full-Time Position Overview: We are seeking an experienced and highly motivated Biotech Process Development Scientist I to join our innovative team. This role will focus on advanced process development, optimization, and scale-up of bioprocesses for the production of biologics and therapeutic products. As a Downstream Process Development Scientist I, you will work independently and as part of a multidisciplinary team to drive the development of robust, scalable processes while collaborating with other departments to ensure project success. Key Responsibilities: · Independently design, optimize, and execute experiments to advance bioprocesses for downstream operations, including monoclonal antibodies, Fc-fusion proteins, bispecific antibodies, and cytokines. · Lead the development and scale-up of bioprocesses from laboratory-scale through to pilot-scale and provide technical expertise for technology transfer to commercial manufacturing for clarification, chromatography (including affinity, ion exchange, hydrophobic interaction and mixed-mode), viral inactivation and viral filtration, ultra-filtration/diafiltration and filtration unit operations and process steps. · Manage and execute viral clearance studies. · Assist in the optimization of downstream bioprocess parameters for yield, purity, and product quality attributes, collaborating with upstream, analytical and formulation teams. · Troubleshoot and resolve complex technical challenges by analyzing process data, performing root cause analysis, and implementing corrective actions. · Collaborate with cross-functional teams, including Upstream and Analytical Development, Quality Assurance, MSAT, and Manufacturing to ensure the successful progression of projects. · Lead the preparation and review of detailed technical documentation, including experimental protocols, reports, standard operating procedures (SOPs), and regulatory filings. · Monitor and ensure compliance with industry regulations, including Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP), and FDA guidelines throughout the process development lifecycle. · Provide mentorship and guidance to junior team members, helping to develop their skills and knowledge in bioprocess development. · Plan and execute experiments in a timely manner, ensuring all milestones and timelines are met. · Prepare presentations for internal stakeholders and regulatory authorities to communicate process development progress, challenges, and solutions. · Contribute to the preparation of process development budgets and timelines, and track project deliverables against established goals. Qualifications: • Bachelor’s degree in Biological Sciences, Chemical Engineering, Biotechnology, or a related field. A Master’s degree or Ph.D. is a plus., • Minimum of 4-6 years of experience in bioprocess development, preferably within a biotech, pharmaceutical, or biologics manufacturing environment., • Strong hands-on experience with purification techniques, viral clearance, and process characterization., • Expertise in process development strategies for scaling up from laboratory to pilot scale and facilitating technology transfer to manufacturing., • Proficiency with process analytical technologies (PAT), and experience with downstream purification equipment, and chromatography techniques., • Strong understanding of regulatory requirements, including GMP, GLP, FDA, and ICH guidelines., • Experience in AKTA purification systems and UNICORN software and liquid handling platforms is preferred., • Proficiency in data analysis and process modeling using software tools such as Excel, JMP, GraphPad, or similar platforms., • Strong problem-solving, troubleshooting, and critical-thinking skills with the ability to manage multiple projects simultaneously., • Excellent written and verbal communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders., • Proven ability to work effectively both independently and in a team-oriented, collaborative environment. Physical Requirements: · Ability to perform lab-based tasks, including standing for long periods, working with various laboratory equipment, and handling biological samples. · Must be able to lift and carry equipment, reagents, and materials weighing up to 25 pounds. Working Conditions: • This position requires flexibility in working hours, including potential shift work, weekends, and on-call duties as necessary., • Work involves the handling of biological materials.

Job Description Position Summary: As a Process Development Scientist, you will support the development, optimization, and scale-up of mammalian upstream bioprocesses for the manufacture of biologic drug substances. You will contribute to the design and execution of laboratory experiments, data analysis, and technical documentation. Key Responsibilities: · Perform laboratory experiments to support mammalian upstream (cell culture) process development. · Assist in the optimization of bioprocess parameters for yield, purity, and product quality. · Support scale-up and technology transfer of processes to manufacturing or pilot facilities. · Prepare buffers, media, and other solutions according to SOPs and protocols. · Operate and maintain flask and bioreactor equipment. · Collect, analyze, and interpret experimental data; maintain accurate lab records and electronic notebooks. · Present findings in internal and client meetings and contribute to technical reports and regulatory documentation. · Complete Root Cause Analyses as needed. · Follow all safety, quality, and compliance requirements. Qualifications: Education: · Bachelor's, master's or PhD degree in Chemical Engineering, Biochemistry, Biotechnology, Biology, or related field. Experience: · 4-8 years of hands-on experience in a bioprocessing or biopharmaceutical development environment (academic or industrial); some education qualifications may substitute for some years of experience. · Experience in a CDMO environment is preferred. · Experience with suspension mammalian cell culture and stirred tank bioreactors is required. · Knowledge of protein purification and analytical techniques is a plus. Skills and Knowledge: · Understanding of cGMP, GLP, or other regulatory standards (preferred). · Strong analytical and problem-solving skills. · Good written and verbal communication skills. · Ability to work both independently and in a collaborative team environment.

Job Description As an upstream Process Development Senior Scientist, you will support the development, optimization, and scale-up of mammalian upstream bioprocesses for the manufacture of biologic drug substances. You will contribute to the design and execution of laboratory experiments, data analysis, and technical documentation. Key Responsibilities: · Perform laboratory experiments to support mammalian upstream (cell culture) process development. · Utilize Design of Experiments (DoE) for data analysis and experimental design. · Assist in the optimization of upstream bioprocess parameters for yield, purity, and product quality attributes, collaborating with downstream, analytical and formulation teams. · Support scale-up and technology transfer of processes to manufacturing or pilot facilities based on engineering principles including oxygen transfer. · Work cross-functionally with analytical development, MSAT, manufacturing and quality teams to drive successful technology transfer. · Prepare buffers, media, and other solutions according to SOPs and protocols. · Operate and maintain flask and bioreactor equipment. · Collect, analyze, and interpret experimental data; maintain accurate lab records and electronic notebooks. · Present findings in internal and client meetings. · Author technical reports and regulatory documentation. · Complete Root Cause Analyses as needed, implementing corrective and preventative actions as needed. · Mentor junior scientists and research associates in daily activities, data trending and data analysis. · Follow all safety, quality, and compliance requirements. Qualifications: Education: · Bachelor's, master's or PhD degree in Chemical Engineering, Biochemistry, Biotechnology, Biology, or related field. Experience: · 5 - 12 years of hands-on experience in a bioprocessing or biopharmaceutical development environment (academic or industrial); some education qualifications may substitute for some years of experience. · Experience in a CDMO environment is required. · Experience with suspension mammalian cell culture and stirred tank bioreactors is required. · Knowledge of protein purification and analytical techniques is a plus. Skills and Knowledge: · Understanding of cGMP, GLP, or other regulatory standards (preferred). · Strong analytical and problem-solving skills. · Good written and verbal communication skills. · Ability to work both independently and in a collaborative team environment.

Prominence Advisors is actively seeking a Senior Data Scientist to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Job Summary Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. • Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring., • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement., • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows., • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries., • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders., • Manage documentation of best practices and scalable frameworks that can be applied across client engagements., • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables. Minimum Qualifications • 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role., • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation., • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting)., • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring)., • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines., • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake., • Strong communication skills with the ability to present technical findings to non-technical audiences. Desired Qualifications • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies., • Experience with population health analytics, risk stratification, or social determinants of health., • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research., • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks., • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker)., • Revenue cycle, staffing optimization, or other operational analytics experience., • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, and Abilities • Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”)., • Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow., • Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently., • Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments., • Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions., • Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms., • Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary., • Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment • Must be able to sit or stand at a computer and work remotely and independently from personal home office, • Willingness to travel for onsite meetings and business reviews as needed Hours Worked This is a Full Time, 40 hour per week position. This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: • Competitive Salaried and Hybrid Compensation Plans, • Health Care Plan (Medical, HSAs, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Dependent & Health Savings Accounts, • Short Term & Long Term Disability, • Paid Time Off (Vacation/Sick & Public Holidays), • Training & Development Fund, • Work From Home, • Charitable Giving to Causes You Believe In Must be legally authorized to work in the United States without sponsorship. The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

Type: Full-time, Remote We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable., • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly., • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions., • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Consulting or client-facing delivery experience. Certifications (Strong Plus) Candidates with at least one relevant certification are especially encouraged to apply: • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related), • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm providing technical, scientific, and financial expertise. Our professionals serve as trusted advisors to organizations facing high-stakes events demanding urgent attention, staunch integrity, and clear-cut analysis. The firm provides a comprehensive suite of services enabling clients to navigate complex, contentious, and often catastrophic situations. We have over 100 locations worldwide. We are highly committed to all members of our community, both employees and clients. Our organization focuses on promoting a sense of community and inspiring our people to achieve results that exceed goals. The projects that an Environmental Scientist works on will include low to high complexity, multi-media, multi-contaminant remediations. The Environmental Scientist is responsible for planning and implementing field activities, evaluating laboratory data and measurements collected during field work and preparing technical documents under the direction of a Project Manager/LSRP. These duties are performed individually or as part of a team. They are responsible for establishing and adhering to project goals, timeframes and budgets. The Environmental Scientist will also communicate with clients and provide support to Project Managers/LSRPs in technical meetings NJDEP. This role may involve exposure to wet or humid conditions in hot climates, requiring work in elevated areas with fall protection equipment. Expect environments that might be noisy, needing hearing protection, and at times, requiring high levels of personal protective equipment. A complete physical examination by an occupational physician will be conducted to ensure the ability to wear negative pressure air purifying respirators and impermeable protective suits as needed for the role. Job Responsibilities • The scientist will be in the field approximately 60% of the time working at commercial and industrial sites and 40% in the office preparing reports and remedial documents, • Will work under the direction of a Project Manager/LSRP to design and implement remedial activities, • Coordinate and implement field activities including the installation of soil borings, overburden and bedrock monitoring wells and the collection of soil, groundwater, and vapor intrusion investigation samples, • Interprets data and lab results and prepares technical reports including NJDEP PAR, SIR, RIR, RAW, RAR and soil and groundwater permit applications and due diligence related documents, • Communicate with clients and subcontractors, • 4-year college degree in geology, biology, environmental science or similar science degree and 2+ years of experience in complex, multi-media investigation and remediation with an environmental consulting firm in NJ; a master’s degree in one of the above listed fields is a plus, • Well versed in NJDEP’s Technical Guidance Documents and Technical Requirements for Site Remediation, • Experienced with due diligence requirements and commercial and industrial property transactional requirements, • Self-starter with strong organizational skills and attention to detail, • Strong verbal and written communication skills, • Experience communicating with project stakeholders including clients and regulators, • Experience in leading teams and training and mentoring junior staff, • Proficiency in Microsoft Office, specifically Word and Excel, • Flexible to work outside of normal business hours as required, • 40-hr OSHA training, • Valid driver’s license and good driving record Preferred Qualifications • Professional licenses (NJ Subsurface Evaluator/UST Closure License/LSRP) are desirable Physical and Mental Job Qualifications • Most duties performed on feet., • Able to carry equipment, as much as 30lbs unassisted., • Push or pull items., • Able to reach above head., • Able to bend at the knee., • Able to climb ladders to reach high areas., • Able to wear a self-contained breathing apparatus., • Able to squat, kneel or crouch in confined spaces when necessary., • Able to detect burning sensations on skin etc., • Vision must be correctable to at least 20:40 with ability to distinguish colors with good depth perception and peripheral vision. Some of the Benefits We Have Include J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team’s needs. Our flexible work environment allows employees to work remotely, when needed • Flexible Time Off policy, • Medical, Dental, and Vision Insurance, • 401k Match, • Commuter Benefit A reasonable estimate of the salary range for this role is $65,000- $80,000. Any offered salary range is based on a wide array of factors including but not limited to skillset, experience, training, location, scope of role, management responsibility, etc. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. By submitting your application, you acknowledge that you have read the and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click to learn more about the personal information we collect and _ to learn about additional privacy rights that may be available. Please explore what we’re all about at _ EEO and Job Accommodations We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email _ and include “Applicant Accommodation” within the subject line with your request and contact information. #LI-DS1 All your information will be kept confidential according to EEO guidelines.

About Sleeper: Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper’s product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports (“DFS”) games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings. We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Responsibilities: Support risk and liability management with respect to Sleeper’s DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights. Develop predictive models and algorithms to better understand Sleeper’s real-time liability, including risk exposure related to specific markets and events. Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy. Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately. Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem. Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole. Qualifications: Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets. In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker. Proactive – ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the “sports trading mold”, challenging how the industry has historically approached risk management and trading. Comfortable working “off hours” to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules. Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs. Additional Information: We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k. Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app. Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at: _

Every company needs supplies and services to operate. From laptops and rental cars to pens and pallets, all companies have procurement needs. That’s where CoreTrust comes in. CoreTrust provides a B2B marketplace that has transformed how companies buy billions of dollars’ worth of supplies and services annually. We’re on a mission to be the one place where buyers and suppliers connect, secure purchasing agreements, transact, and partner to realize savings. To support our growth, we’re seeking an experienced Senior Data Scientist to join our Data Solutions team. The CoreTrust Data Solutions team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, sales, marketing, finance, and business leaders to identify opportunities for improving customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help CoreTrust deliver the best experience possible for our customers and partners. Responsibilities • Work with other teams across CoreTrust to develop key metrics to achieve business outcomes., • Work cross functionally to translate business problems into solutions that can be solved and informed by data and automated with AI Agents., • Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business., • Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map., • Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution., • Utilize tools like SQL, Python, LLMs and platforms like Azure AI Foundry or Amazon Bedrock to execute analysis and create AI applications., • Track and monitor projects in JIRA, • Design, implement, and maintain analytics, models and LLM-driven scripts/software, • Work with stakeholders across the organization to understand requirements and generate actionable insights, • Work as part of a team to maintain a high-quality data lake house, • Serve as a subject matter expert on machine learning, AI agents, and statistics, • Be part of the Data Science Team to share ideas and best practices, • Create dashboards and reports to clearly and concisely communicate results and insights, • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • 4+ years of experience in data science and analytics, • Experience with design and maintenance of advanced data systems, • Deep understanding of data modeling, statistics, and data visualization concepts, • Comfortable working with data in a variety of formats and languages, like CSV, Parquet, XLSX, JSON, etc. and SQL/Python, • Experience with Azure or AWS cloud platforms, OpenAI and Anthropic APIs, RAG-based chatbots, AI Agents, LLMs and other foundational AI/GenAI models, • Ability to use your understanding of statistics and modeling to explain complex outputs to non-technical team members, • Experience with tools like PowerBI, Snowflake, N8N, Claude Code, OpenAI Codex, Cursor, • Competitive compensation package, • Free individual employee medical coverage, • Company subsidized dental and vision coverage, • Dollar for dollar 401(k) match up to 6% of your salary with immediate vesting, • Company-paid Short-Term and Long-Term Disability coverage, • Employee Assistance Program to support your wellbeing and mental health, • $1500 annual stipend for undergraduate/graduate college courses; $500 annual stipend for continuing education courses/certifications, • Free snacks and beverages on-site, • Brand new, state-of-the-art, tech-enabled work environment in downtown Nashville, • Flexible/hybrid work culture

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Fully Remote Position Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we’re the first to produce a digital K-1. Learn more at _ About the role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software’s ability to accurately and efficiently process partnership accounting and tax documents. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution! • Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents., • Collaborate with cross-functional teams to integrate machine learning solutions into our software products., • Apply statistical analysis to identify signals, trends, and insights that can inform product development., • Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment., • Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, • 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects, • Demonstrated experience leading end-to-end data science project implementations, • Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences, • Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy, Huggingface) Qualifications: • Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience, • 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects, • Demonstrated experience leading end-to-end data science project implementations, • Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences, • Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy) Preferred experience: • Previous experience with applications of NLP to financial documents, • Familiarity with alternative investment accounting needs, • Experience deploying machine learning models using containerization and orchestration technologies, • Unlimited Vacation Policy + Sick Time + Holidays, • Paid Parental Leave, • Fully Remote Opportunity, • Healthcare Benefits and 401K, • Growing Startup Culture

SmarterDx, a company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at . We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers. This role is fully remote within the US • Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions, • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results, • Prototype analytics solutions and data products to accelerate product development, • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications, • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data, • Building, maintaining, and testing data models which support reporting and analytics., • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning, • 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep), • Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations, • Masters in statistics or other relevant fields preferred, • Ownership: Build and own features from start to finish., • Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights., • Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so., • Product focus: How can we maximize the utility and value we deliver to our end users?, • Familiarity with experiment design and statistical analysis, • Experience with health system clinical and/or revenue cycle data is preferred, • Data Visualization: Hex and Evidence, • Analysis: Python & Data Science libraries (numpy, pandas, etc), • Pipelines: Snowflake, dbt, airflow, git, and AWS $160,000 - $190,000 #LI-Remote • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan., • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents., • Remote-First Team – Work from anywhere in the U.S., • Unlimited PTO & 10 Holidays – So you can relax and recharge., • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match., • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters., • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

Company Description BPS Bioscience Inc. is a leading developer and manufacturer of research tools for various scientific fields, including bromodomains, CAR-T therapy, cell signaling pathways, Coronavirus, CRISPR, deacetylases, demethylases, immunotherapy, kinases, methyltransferases, phosphodiesterases, phosphatases, poly ADP ribose polymerases, and ubiquitin enzymes. The company is headquartered in San Diego, California and provides custom protein expression, biochemical and cell-based assays, cell line development, CRISPR, BLI and compound screening services. BPS Bioscience is scientist founded and driven, focusing on providing quality life science products and services to accelerate drug discovery and development for treatment of human diseases. Job Overview The Territory Sales Manager is a full-time, exempt, remote position. The Territory Sales Manager will be responsible for managing and expanding customer accounts within the assigned territory, while adhering to the company's policies and procedures. The Territory Sales Manager will also be responsible for using market analysis data and customer knowledge to develop and implement sales strategies while ensuring customer satisfaction. Responsibilities: • Build and maintain a network of sources to identify new sales leads., • Identify, qualify, and close new business opportunities in the biotech and life sciences sectors within the assigned territory., • Negotiate and close sales opportunities., • Communicate with customers and seek to understand their product or service needs; recommend appropriate solutions., • Demonstrate the functions and utility of products or services tailored to customer needs., • Maintain and grow existing accounts through regular follow-ups, customer service, and relationship management to ensure repeat business; document all activities in CRM tools., • Conduct in-person visits with prospective and existing clients to present BPS’ product portfolio to C-suite executives, researchers, lab managers, and procurement teams., • Ensure customer satisfaction through ongoing communication and relationship management; resolve post-sale issues promptly., • Collaborate with internal technical specialists and product managers to address complex client needs and ensure satisfaction., • Maintain communication with existing and previous customers to inform them of new products, services, and enhancements., • Maintain detailed records of sales activities including calls, orders, sales, lost business, and customer or vendor relationship issues; track all interactions using CRM tools., • Provide periodic and accurate territory sales forecasts and reports., • Attend scientific conferences, trade shows, and networking events to promote brand awareness and generate leads., • Monitor market trends and competitor activity to inform sales strategy., • Collaborate effectively with cross-functional teams and provide territory coverage for colleagues during absences, ensuring seamless customer support and continuity of service., • Demonstrates professionalism, resilience, and a positive attitude in all interactions., • Actively supports the development of junior or new sales territory managers through coaching, shadowing, and constructive feedback., • Encourages knowledge sharing and teamwork to drive collective success., • Introduces and promotes effective sales techniques and/or tools to improve team efficiency., • Provides insights from the field through Voice-of-the-Customer feedback to help shape product development and service enhancements., • Provide mentorship and training for other members in the department., • Manages the performance of direct reports if applicable., • Perform other duties as assigned. Required Qualifications: • Bachelor’s or advanced degree in a related scientific field (preferred), or a degree in Business., • Minimum of 7+ years of relevant sales or industry experience required., • Proven sales and negotiation skills with a results-driven approach., • Excellent interpersonal and customer service abilities., • Ability to thrive in a high-paced, client-facing environment., • Strong organizational skills., • Demonstrates a high level of accuracy and thoroughness in all aspects of work., • Consistently ensures precision and completeness in documentation and communication., • Solid analytical and problem-solving capabilities., • Proficient in Microsoft Office Suite or related software., • Familiarity and use of CRM platforms and sales reporting tools., • Self-motivated and capable of working independently., • Willingness and ability to travel extensively within the assigned territory. Benefits! • 401k with company match, • Medical/Dental/Vision health insurance plans, • Vacation and paid holidays BPS Bioscience is an equal opportunity employer, without regard to race, color, religion, age, gender, sexual orientation, disability, or any other characteristic protected by applicable law.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! • Evaluate simulation test results to drive release & safety decisions., • Work independently with cross functional teams to develop software and system requirements., • Lead team code quality activities including design and code reviews., • Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations., • Provide technical guidance to team members. Success in this role typically requires the following competencies: • Expertise in analyzing high-dimensional simulation data., • Experience building ML prediction models., • Detail-oriented with a focus on validation, testing, and error detection., • Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May., • Excellent problem-solving skills with a meticulous approach to model architecture and optimization., • Ability to provide individual and team mentorship, including technical leadership for complex projects. Required • B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field., • 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning., • Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark)., • Demonstrated expertise in databases for data extraction, transformation, and analysis., • Proven experience building and managing large datasets and evaluations., • Hands-on expertise in architecting and training complex predictive machine learning models., • Prior experience in mentoring and supporting junior engineers. Desirable • Background in Autonomous vehicles, robotics, physics or related fields., • Hands-on experience working with simulation data. Benefits and Perks • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate., • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available., • Rich retirement benefits, including an immediately vested employer safe harbor match., • Generous paid parental leave as well as a phased return to work., • Flexible vacation policy in addition to paid company holidays., • Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our _! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $200,591 - $295,000 USD

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements., • Learn security and compliance frameworks including but not limited to Cybersecurity Maturity Model Certification (CMMC) 2.0 for Defense Industrial Base customers leveraging Microsoft Azure Government and Microsoft 365 GGC High. Technical Requirements Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. Microsoft Purview, including Information Protection and Rights Management. Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. Microsoft 365 Copilot and Copilot Studio. Power Platform, including Power Automate and Copilot Agents. Azure Virtual Desktop and Windows 365 Endpoint management. Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: Microsoft 365 Certified: Administrator Expert (MS-102) Cybersecurity Architect Expert (SC-100) Security Operations Analyst Associate (SC-200) Identity and Access Administrator Associate (SC-300) Information Protection Administrator Associate (SC-401) Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Important: U.S. citizenship is required due to access requirements for Azure Government, Microsoft 365 GCC High, and Defense Industrial Base environments. Preferred Qualifications • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint., • Experience with any highly regulated environments and the associated frameworks for Banking, Life Sciences, Government, Cyber Security, etc. HR Information Full-time, permanent role Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) Comprehensive employee benefits plan Fully remote work

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. Upstart’s Growth and Marketplace Optimization teams are responsible for building the decision systems that determine how offers are presented, optimized, and evolved across the customer journey. These systems sit at the intersection of machine learning, optimization, pricing, marketplace dynamics, and borrower behavior. The work spans partner channels, onsite experiences, and marketplace optimization, with the goal of improving conversion, borrower experience, lender surplus, and overall marketplace efficiency. As these systems continue to evolve, the organization is investing in a more unified technical vision that connects decision-making across stages rather than optimizing individual components in isolation. As a Principal Applied Scientist at Upstart, you will help define the long-term technical direction for some of Upstart’s most important offer optimization and conversion modeling systems. You will work across multiple teams to define how conversion modeling, offer optimization, and system design should fit together, ensuring models and optimization systems account for downstream effects, marketplace constraints, and customer outcomes. This role is intentionally broad and high leverage. You will help structure ambiguous problem spaces, design solutions that account for interactions across multiple stages of the customer journey, and provide technical oversight to ensure work across multiple teams converges toward a coherent long-term vision. The work sits at the intersection of operations research, optimization, causal machine learning, and production decision systems. • Define the technical vision for how offer decisioning systems should interconnect across partnerships, always-on systems, and marketplace optimization, • Build and guide conversion modeling approaches that optimize decisions across multiple stages of the customer journey rather than in isolated local steps, • Ensure models and decision policies at one stage account for downstream impacts, business constraints, and later-stage optimization opportunities, • Design interfaces between decision systems and optimization or constraint-specification components, • Drive cross-functional technical alignment across teams that currently own adjacent pieces of the problem, • Scope and lead large, ambiguous initiatives that require both deep modeling judgment and strong systems thinking, • Partner with scientists, engineers, and cross-functional stakeholders to translate analytical insights into durable production approaches, • Help ensure ongoing work across domains progresses toward a unified architecture and decisioning strategy, • Contribute directly to implementation and experimentation efforts, including prototyping models, reviewing code, and helping teams operationalize new approaches in production environments., • Advanced degree in a quantitative field such as statistics, mathematics, economics, computer science, operations research, or a related discipline, • 8+ years of experience building and deploying machine learning models into production at scale, • Experience with optimization, operations research, or constrained decision-making problems, • Working knowledge of causal inference or causal machine learning, • Strong grounding in statistics and probability, • Experience leading large cross-functional technical initiatives with multiple stakeholders, • Experience working across multiple technical teams to align approaches, define interfaces, and move toward a shared vision, • Experience solving real-world machine learning or data science problems in a high-impact production environment, • PhD in operations research, statistics, economics, computer science, or another quantitative field, • Experience with offer optimization, pricing systems, marketplace optimization, or related decisioning systems, • Experience with end-to-end modeling from problem framing through productionization, • Experience in fintech, lending, marketplaces, or other domains where decisions must account for downstream constraints and business tradeoffs, • Experience serving as a principal-level technical lead across multiple teams or product areas, • Experience mentoring other senior scientists or raising the technical bar across an organization Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. Position location This role is available in the following locations: Remote Time zone requirements The team operates on the East/West coast time zones. At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $238,400 - $330,200 USD At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). Canada | Remote - Anticipated Base Salary Range $220,200 - $277,000 CAD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: • Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly, • Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada), • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only), • Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada., • Health Savings Account contributions from Upstart for eligible plans (US only), • Income protection benefits, including life insurance and disability coverage for added financial security, • Paid time off, sick leave, and company holidays, in line with local requirements, • Paid family and parental leave to support caregiving and major life moments (duration varies by country), • Family-centered benefits to support fertility, parenthood, and caregiving needs, • Employee Assistance Program (EAP) offering mental health support and life-centered resources, • Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only), • Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you, • Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from, • Connection and community through team events, all-company updates, and employee resource groups (ERGs), • Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!) For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com _

Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mitigate risk. Our professionals serve as trusted advisors to organizations facing high stakes matters demanding urgent attention, staunch integrity, proven experience, clear-cut analysis, and an understanding of both tangible and intangible assets. The firm provides a comprehensive suite of services, products, and data that enable clients to navigate complex, contentious, and often catastrophic situations. The projects that a Senior Environmental Scientist works on will include low to high complexity, multi-media, multi-contaminant remediations. The Senior Environmental Scientist is responsible for planning and implementing field activities, evaluating laboratory data and measurements collected during field work and preparing technical documents under the direction of a Project Manager. These duties are performed individually or as part of a team. In a team setting, the Senior Environmental Scientist is responsible for directing these activities. The Senior Environmental Scientist is responsible for adhering to established project goals and timeframes. Their responsibilities may include the training of scientist level staff. The Senior Environmental Scientist will also provide support to Project Managers/LSRPs in technical meetings with clients and NJDEP. Job Responsibilities • The scientist will work predominantly in the office preparing reports and related remedial documents, but is expected to oversee more complex field investigation and remediation activities, • Will work under the direction of a Project Manager/LSRP to design remedial activities, • Provide sound technical recommendations to the Project Manager/LSRP, • Prepare technical reports including NJDEP PAR, SIR, RIR, RAW, RAR and soil and groundwater permit applications, • Develop and maintain client relationships, • Train and mentor junior level staff, • Coordinate with subcontractors to continuously improve investigation and remediation methodologies and sampling techniques, • 4-year college degree in geology, biology, environmental science or similar science degree and 6+ years of experience in complex, multi-media investigation and remediation with an environmental consulting firm in NJ; a master’s degree in one of the above listed fields is a plus, • Well versed in NJDEP’s Technical Guidance Documents and Technical Requirements for Site Remediation, • Experienced with due diligence requirements and commercial and industrial property transactional requirements, • Self-starter with strong organizational skills and attention to detail, • Strong verbal and written communication skills, • Proficiency in Microsoft Office, specifically Word and Excel, • Flexible to work outside of normal business hours as required, • 40-hr OSHA training, • NJ Subsurface Evaluator/UST Closure License/LSRP, • Valid driver’s license and good driving record Preferred Qualifications • Professional licenses are desirable Physical and Mental Job Qualifications • Most duties performed on feet., • Able to carry equipment, as much as 30lbs unassisted., • Push or pull items., • Able to reach above head., • Able to bend at the knee., • Able to climb ladders to reach high areas., • Able to wear a self-contained breathing apparatus., • Able to squat, kneel or crouch in confined spaces when necessary., • Able to detect burning sensations on skin etc., • Vision must be correctable to at least 20:40 with ability to distinguish colors with good depth perception and peripheral vision. Some of the Benefits We Have Include J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team’s needs. • Our flexible work environment allows employees to work remotely, when needed, • Generous PTO Policy, • Medical, Dental, and Vision Insurance, • 401k Match, • Commuter Benefit A reasonable estimate of the salary range for this role is $75,000 - $90,000. Any offered salary range is based on a wide array of factors including but not limited to skillset, experience, training, location, scope of role, management responsibility, etc. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. By submitting your application, you acknowledge that you have read the and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click to learn more about the personal information we collect and _ to learn about additional privacy rights that may be available. Please explore what we’re all about at _ EEO and Job Accommodations We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email _ and include “Applicant Accommodation” within the subject line with your request and contact information. #LI-DS1 All your information will be kept confidential according to EEO guidelines.

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking, a solid grasp of machine learning principles, and the ability to apply core methodologies such as predictive modeling, econometric analysis, and time series forecasting. This position requires a collaborative mindset to work cross-functionally, ensuring the seamless integration of analytical insights into Lightcast's products and services. • Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets., • Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics., • Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends., • Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow., • Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences., • Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies., • Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field., • 2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems., • 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred)., • Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch., • Demonstrated ability to write clean, scalable code and independently prototype data solutions., • Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting., • Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows., • Strong statistical reasoning and ability to translate complex data into strategic business insights., • Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences., • Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred)., • Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred)., • Familiarity with Natural Language Processing (NLP) techniques and applications (preferred).Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

POSITION SUMMARY: Natera is seeking a Senior Machine Learning Scientist to join our AI team, an advanced R&D and core AI innovation team bridging the gap between molecular discovery and clinical execution. Leveraging a proprietary data moat of over 250,000 oncology patients profiled with longitudinal ctDNA, WES/WGS, digital pathology, and EMR data, you will design and deploy production-grade autonomous AI agents and multi-modal foundation models. Your mission is to architect systems capable of multi-step biological reasoning, converting complex multi-omic datasets into verifiable clinical insights that accelerate biomarker and therapeutic discovery. You will lead the next evolution of our Agentic AI platform, designing autonomous systems capable of reasoning through the complexities of cancer biology, orchestrating proprietary foundation models, and simulating virtual patient trajectories. PRIMARY RESPONSIBILITIES • Lead the technical design and deployment of multi-agent systems capable of autonomous hypothesis generation and tool use, including genomic variant calling, LLM fine-tuning, and clinical trial matching pipelines, • Incorporate and advance Natera’s transformer-based foundation model by integrating DNA, RNA, and H&E imaging modalities for multi-step biological reasoning and tool use, • Implement advanced LLM reasoning frameworks, such as ReAct and Chain-of-Thought, alongside reinforcement fine-tuning (RFT) to ensure agents provide accurate, explainable clinical rationales, • Architect systems that autonomously translate complex, multi-modal data into diagnostic and therapeutic insights with human-verifiable reasoning and tracing, • Own the technical strategy and product roadmap for agentic workflows across the Biopharma Solutions and Therapeutics Discovery division, converting complex clinical challenges into scalable AI systems, • Establish production-grade machine learning engineering standards and reproducible architectures across the AI team to ensure absolute model transparency and scientific auditability, • Drive cross-functional alignment and technical consensus by defending agentic architectures and biological reasoning frameworks in rigorous peer reviews QUALIFICATIONS: • PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field, • 8 or more years of experience in AI research or engineering, with a proven track record of moving multi-agent orchestration architectures or large-scale language model workflows from prototype to production, • Deep experience with agentic frameworks, such as LangChain or Claude Agent SDK, retrieval-augmented generation (RAG), and validation frameworks for autonomous AI agents, • Strong understanding of cancer genomics (WES/WTS), mutational signatures, and structure-activity relationships, • Advanced production-level development experience using PyTorch and experience with distributed training on large GPU clusters, including NVIDIA H100s KNOWLEDGE, SKILLS, AND ABILITIES: • Ability to operate with absolute ownership to close operational gaps and independently drive architectural deployment, • Data-driven decision-making focused on empirical model performance and clinical validity, • Technical leadership capability to define long-term AI engineering roadmaps, • Rigor in code architecture, reproducibility, and production-grade software engineering practices, • Comfort with high intellectual friction and the ability to defend scientific and engineering choices under rigorous internal peer review, • Focus on translating machine learning outcomes directly into patient-centric clinical utility The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $169,800 - $212,300 USD Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including: Annual performance incentive bonus Long-term equity awards Comprehensive health benefits (medical, dental, vision) 401(k) with company match Generous paid time off and company holidays Additional wellness and work-life benefits Compensation Range $160,335.12 - $200,418.90 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit _. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: _ Please be advised that Natera will reach out to candidates with a @_ email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • _, • _

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? We’re Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) Our feature store enables organizations to manage, serve, and monitor features at scale—delivering the foundation that banks, financial services firms, and enterprise customers depend on to power mission-critical machine learning workloads. We’re looking for a Senior Principal Software Engineer to own and drive our feature store product. This is a unique opportunity to shape the technical direction of a product that serves some of the world’s most demanding customers, while building a world-class engineering team. As Senior Principal Software Engineer for our Feature Store product, you will be the driving force behind our platform. You’ll own the technical vision, lead execution, and serve as the primary technical voice with our most strategic customers—including major banks and enterprise organizations with demanding requirements around performance, reliability, and compliance. This role blends deep technical leadership with customer-facing responsibilities. You’ll spend time architecting systems, guiding the roadmap, setting engineering standards, and engaging directly with customers to understand their needs and translate them into product capabilities. Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform. Set a high bar for code quality, system reliability, and performance. Lead V2 Implementation: Architect and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability. Guide Product Roadmap: Partner with Product and leadership to shape the technical roadmap. Translate customer requirements and market trends into actionable engineering priorities. Engage with Strategic Customers: Serve as a trusted technical advisor to banks, financial institutions, and enterprise customers. Lead technical discussions, understand their ML infrastructure challenges, and ensure our platform meets their needs. Build & Mentor the Team: Recruit, coach, and develop engineers. Foster a culture of technical excellence, ownership, and continuous improvement. Stay Hands-On: Actively participate in design reviews, code reviews, and critical implementation work. Lead by example in technical decision-making. Drive Adoption of Modern Practices: Champion the use of AI-assisted development tools, observability best practices, and infrastructure automation to accelerate delivery. 8+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems 3+ years in a technical leadership role—leading teams, driving architecture decisions, and mentoring engineers Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale Expertise in Python, Go, and Rust Strong knowledge of cloud platforms (AWS, GCP, Azure) and modern data infrastructure (Kafka, Flink, Redis, Spark, or similar) Experience working with enterprise customers, particularly in regulated industries like financial services Excellent communication skills—able to translate complex technical concepts for both engineering teams and business stakeholders Direct experience building or operating feature stores (Feast, Tecton, Hopsworks, or custom implementations) Experience with real-time feature serving at sub-millisecond latencies Background in financial services, banking technology, or compliance-heavy environments Contributions to open-source ML infrastructure projects Hands-on experience as a data scientist or ML practitioner—training and deploying models in production High-Impact Role: Own a critical product line and directly influence how the world’s leading organizations build ML systems Enterprise Customers: Work with banks, financial institutions, and Fortune 500 companies solving real, complex problems Technical Depth: Tackle challenges in distributed systems, low-latency serving, and ML infrastructure at scale Competitive Compensation: Salary, equity, and comprehensive benefits Flexible Work: Remote-friendly culture with flexibility to do your best work Redis is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome candidates of all backgrounds. #LI-BL1 #Remote As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to _. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the in order to evaluate candidates.

_ is a consulting firm that is trusted by the world’s leading organizations and specializes in business transformation and technology services. We are committed to making an impact for our customers and leveraging technology to unlock human potential. We help accelerate our customers' progress toward meaningful outcomes by bringing together cross-industry expertise, proven processes, and transformative technology to activate shared potential. Our diverse set of experts spans_ with international reach via our partnership with Nextcontinent. We're united by our desire to help our customers succeed, wherever they do business. Point B has been consistently recognized as one of the best places to work by Fortune® Magazine, Great Place to Work, Consulting Magazine, BuiltIn, and many others. Our Data and Analytics practice helps our customers across their journey to become insights-driven organizations. Insight-driven organizations use data to drive measurable business value, creating opportunities for growth, profitability and operational excellence. WHAT YOU’LL GET TO DO: Lead our customers through transformational change by driving the design and execution of data and analytics strategies Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state Contribute to the direction of our Data and Analytics Consulting practice through exceptional customer service delivery and support of business development efforts Work with teams of customer personnel and Point B consultants to plan and deliver on data and analytics initiatives Grow as a leader working alongside senior Point B consultants who provide mentorship and support Exercise your entrepreneurial spirit and contribute to the firm’s growth as an employee-owner WHAT WE OFFER: The ability to chart your career path based on expertise and passions An environment that encourages you to identify new opportunities and supports you in reaching your goals The chance to have a balanced lifestyle by working with local or national clients in a flexible consulting model The opportunity to be part of building a new practice area within Point B The support of a well-established consulting firm and access to a rich network An environment that encourages you to identify new opportunities and provides the support to make it happen The opportunity to further enable fun and collaborative culture with teams that are as passionate about their communities as they are about their clients A comprehensive, flexible Total Rewards program that supports and recognizes each individual’s unique needs and contributions to the firm WHAT WE EXPECT YOU’VE ALREADY DONE: 8+ years leading or participating in data and analytics projects, in a quantitative, data driven or highly analytical business environment Solved complex business problems by converting raw data into meaningful and actionable business ideas Developed and implemented data and analytics solutions Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc.) Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making purposes (preferred experience with SQL, R, Python, etc.) Demonstrated the ability to work directly with customers to lead high priority initiatives and act as a trusted advisor Earned BA or BS with preference for quantitative undergraduate degree (e.g. BS in Mathematics, Economics, Computer Science, Information Management or Statistics) Available to travel up to 50% PREFERRED QUALIFICATIONS: Data warehouse and data platform design and technical implementation leadership Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem Power BI at an advanced level, data modeling (especially Power Query and Data Access Expressions - DAX) Experience designing, building, and deploying large scale solutions within the Power BI Premium service D&A experience in specific business functions (Finance, Sales and Marketing, Operations and Supply Chain) Experience with key data sources like Microsoft Dynamics 365, Oracle, SAP, Salesforce, and Adobe Ideally industry-specific systems experience. Electronic Medical Records (EMR) systems such as Epic, and Ecommerce and Point-of-Sale (POS) systems like Hybris and Aptos Technical certifications on the Microsoft platform (Azure Solution Architect, Azure Data Engineer, Azure Data Scientist, Azure Fabric Analytics Engineer) Certified Power BI Data Analyst THE KIND OF PEOPLE WE LOOK FOR: Versatile consultants who are passionate about data and analytics and thrive on variety and challenge Innate problem solvers who want to grow in a flexible, collaborative culture Comfortable transitioning between strategic and execution responsibilities to maximize customer value Confident decision makers with a proactive mindset Engaging leaders who make a positive impact on their firm, customers, and communities Those who have a growth mindset regarding training, practice, and evolving their skills Versatile people who thrive on variety and challenge Successful in ambiguous environments Desire to and ability to learn Passion for Point B’s Mission, Vision, Values & Culture Gets it done brand and attitude Ability to work from home Ability to work non-standard work hours when necessary. COMPENSATION AND BENEFITS: The estimated salary range for this role is $105,000 - $150,000 USD per year. This salary range is provided as required by local and state law as applicable. Individual salaries vary on a number of factors including but not limited to geography, skills, education, experience and unique qualifications where applicable. Bonuses are awarded at Point B’s discretion and are based upon individual contributions and overall firm performance. \n \n INTRIGUED TO LEARN MORE? When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us with feedback if we think there could be a fit and what next steps look like. WHAT MAKES POINT B DIFFERENT? We put our passion for change to work, using our purpose and values as our north start. Our teams help organizations solve their greatest challenges and created an inclusive culture that attracts and retains the world’s best talent. Be part of a collaborative culture where we build lasting relationships with each other, our customers, and our communities. _ – Point B rewards high performance with a total rewards approach that includes competitive base pay, benefits, and short-and long-term incentives — as well as flexibility, leadership development opportunities, and a culture designed to help our diverse team of individuals flourish. Employee Ownership – We give employees a voice in directing their careers and the growth of our company. Our Employee Stock Ownership Plan (ESOP) is a non-contributory retirement vehicle that grows over time from annual allocations (based on individual compensation) and the value of our company. _ – We are proud to be named a Best Workplace in the US by Fortune magazine, Best Workplaces for Millennials, and Best Workplaces for Women in addition to other awards regarding our workplace inclusivity. Point B is an equal-opportunity employer committed to a diverse workforce. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. You can read more about our commitment to diversity on our _. Point B is committed to providing equal opportunities for persons with disabilities or religious observances, which includes providing reasonable accommodation for in any individuals with disabilities or for religious purposes. Applicants with disabilities may contact our Accommodations team at _ or 206-517-5000 to request and arrange for accommodations through the application and/or recruiting process. If you need assistance to accommodate a disability or religious observance, you may request an accommodation at any time. Please note: This mailbox is only for accommodation requests or questions. Please use the Contact Us form for any recruiting inquires. Legal Information for Job Seekers can be accessed on our _ Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Full-time Description Binary Defense is seeking a talented Data Scientist / Software Engineer to join our team in a dual-discipline role bridging applied data science and production software engineering. This is not a research-only or notebook-only position — you will own the full lifecycle of data-driven capabilities, from hypothesis to deployed service running in our production environment supporting MDR operations and the NightBeacon product suite. Responsibilities • Design, build, and ship production-grade data and ML systems that operate against large-scale cybersecurity telemetry, including endpoint, network, identity, and cloud-derived signals., • Apply analytical, statistical, and machine learning techniques to collect, analyze, and interpret large cybersecurity data sets, and translate findings into deployable software., • Develop, test, and maintain backend services, APIs, and data pipelines that integrate ML models and analytics into Binary Defense products and SOC tooling., • Collaborate closely with software engineering, product, detection engineering, and security engineering teams to embed algorithms and analytics directly into our platforms., • Own code quality across the stack — write clean, well-tested, reviewed code; participate in design reviews; and contribute to architectural decisions affecting data and ML systems., • Operationalize models with appropriate monitoring, versioning, retraining, and rollback strategies (MLOps)., • Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients., • Develop data-driven solutions that ship — not prototypes that stall. Requirements Data Science • Master's or PhD in Computer Science, Machine Learning, Data Science, Statistics, or equivalent experience., • At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications., • Working knowledge of linear algebra, statistics, probability, and the mathematics underlying modern ML., • Strong understanding of statistical modeling supervised and unsupervised learning, and the tradeoffs between classical ML and deep learning approaches., • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with big data technologies (Spark, Hadoop ecosystem, or modern equivalents) and NoSQL data stores., • Experience with data visualization and analyst-facing tooling (Tableau, Power BI, D3.js, or similar). Software Engineering • At least 3 years of experience writing production software, with code shipped to real users in a team setting., • Strong proficiency in Python, plus working competence in at least one additional production language (Go, Rust, C#/.NET, Java, or TypeScript)., • Solid foundations in software design: data structures, algorithms, OOP and functional patterns, API design, and system design for performance and scale., • Experience designing and building REST or gRPC APIs and the services behind them., • Strong with relational and NoSQL database design, query optimization, and schema evolution., • Proficient with Git, modern code review workflows, and writing unit and integration tests., • Comfortable with CI/CD pipelines and shipping behind feature flags or staged rollouts., • Experience with containerization (Docker) and at least one orchestration or deployment platform (Kubernetes, ECS, or equivalent)., • Familiarity with cloud platforms — AWS, Azure, or GCP — including their managed data, compute, and ML services., • Excellent written and verbal communication; able to defend technical decisions and write documentation that engineers and analysts will use. Preferred • Direct experience applying data science to security problems: detection engineering, threat intelligence enrichment, behavioral analytics, malware classification, alert triage, or adversary attribution., • Experience with managed ML services such as Amazon SageMaker, Vertex AI, or Azure ML., • Familiarity with LLM-based systems, including retrieval-augmented generation, agentic workflows, evaluation frameworks, and prompt and model lifecycle management., • Experience operating in an Agile or continuous-delivery environment., • Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly., • Familiarity with DevOps and SRE practices, including infrastructure-as-code (Terraform), observability (metrics, logs, traces), and incident response., • Background or prior role in threat intelligence, security research, security engineering, or SOC analysis., • Strong work ethic, intellectual honesty, and creative problem-solving — comfortable working through ambiguity and shipping under real deadlines. About Binary Defense Binary Defense is a leading Managed Detection and Response (MDR) provider, trusted by hundreds of organizations to protect what matters most. Our team of SOC analysts, threat hunters, detection engineers, and threat researchers work around the clock to deliver proactive, risk-focused security outcomes. We bring the attacker's mindset to defense, helping clients detect threats earlier, respond faster, and continuously improve their security posture. For more information, visit our, check out our, or follow us on. Binary Defense offers competitive medical, dental and vision coverage for employees and dependents, a 401k match which vests every payroll, a flexible and remote friendly work environment, as well as training opportunities to expand your skill set (to name a few!). If you’re interested in joining a growing team with great perks, we encourage you to apply!

At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good. Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team. We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function. Auror’s North American footprint is live and expanding. We need a highly practical and rigorous Data Scientist to build, productionize, and defend predictive models that customers can trust, especially for high-stakes operational decisions in Loss Prevention and Fraud detection (e.g., cashier risk scoring, deployment optimization, shrink prediction). This role fills a current need for deep statistical modeling expertise combined with real-world domain knowledge and the ability to ship robust analytics products. Own predictive modeling and advanced analytics end-to-end, from ambiguous problem framing to deployment, focusing on Loss Prevention (LP) and Asset Protection (AP) applications. Design, build, and standardize ETL pipelines and data architecture necessary to support robust, scalable predictive modeling at scale. Build defensible metrics (calibration, error tradeoffs, bias/disparity checks) and link them to measurable decision outcomes for C-suite and AP teams. Partner with ML engineers to productionize: feature definitions, scoring workflows, monitoring signals, and retraining triggers. Communicate clearly and concisely to diverse audiences (internal Product/Engineering, external customers, and executive teams) on model uncertainty, value, and strategic application. Design randomized controlled trials and evaluation harnesses that make model quality legible to stakeholders and customers. Expertise in practical statistical modeling and analysis (inference, causal/experimental thinking, time series, model calibration, measurement) applied to real-world, messy data. Demonstrated experience taking analyses/models from ambiguous problem → shipped decision support (e.g., shortage prediction, risk classification models). Strong domain expertise in Retail Loss Prevention, Fraud detection, Asset Protection, or POS Analytics. Strong SQL + Python, with demonstrated experience in ETL Pipeline Design and Data Modeling & Architecture. Practical, high-integrity approach to responsible AI (limits, misuse risk, bias considerations, auditability). ⁠ Experience with geospatial risk modeling, network/graph analytics, or Exception Based Reporting (EBR) tools. Experience building customer-facing proofs-of-concept and translating complex analytics into product features. We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our _). With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Competitive salary range: Depending on level of experience, between $[Salary band]. Employee share scheme: You’ll own part of a company making a real difference! Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend. Shorter work weeks (at full pay): Everyone gets Friday afternoons off, so you can start your weekend early, and do more of whatever it is that makes you happy. Focus on mental and physical health: We understand how vital our health is and have policies to support your wellness, including Wellness Days, and up to $500 for expert sessions every year. Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife. Family-friendly: We offer comprehensive paid parental leave - 12 weeks for birth parents and 6 weeks for non-birth parents following birth, adoption, or surrogacy, available to all Aurors from day one. Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills. Team love: We have regular team lunches and social events where most (if not all) activities are during work hours. What are the next steps? If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”. If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you. You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror. Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. _ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. You want to use the latest ML frameworks and open source tools to develop new model training pipelines. Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust You have experience building microservices and understand the tradeoffs of the approach. Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. Database management: You are able to design and implement schemas, optimize queries, and manage database performance. Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. 6+ years relevant work experience. Proficiency in, at least, one modern programming language such as Python or Javascript. Experience building commercial SaaS solutions. Experience integrating with backend services, and APIs. Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. Experience with tuning AI performance and scalability of AI infrastructure. Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. Experienced with LLM orchestration tooling and decision frameworks. Experience or exposure building agentic capabilities and workflows. Experience or exposure to evaluation testing frameworks. Exceptional candidates will have direct experience with RAG for tuning LLMs. Experience with API design and accessing data from external sources. Ability to effectively articulate technical challenges and solutions. Deal well with ambiguous/undefined problems; ability to think abstractly. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Flexible paid time off policy and 10 company-wide paid holidays Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents Medical, dental, and vision benefits coverage for employees and their families 401K eligibility after one month of employment Free estate planning documents Budget for learning & development and home office setup Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are hiring a strong software engineering intern to help turn that architecture into polished, reliable product experiences. We are hiring a Software Engineer Intern (Product & Backend) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. This role is best for someone who enjoys building product features end-to-end, writing clean backend logic, improving code quality, and shipping systems that users can rely on. You will help build and refine core workflows across the platform while working closely with the rest of the engineering team. What you’ll work on • Build product features across areas such as workspace setup, dataset and document workflows, semantic model workflows, metrics, investigations, evidence views, decision workflows, and operator-facing product surfaces, • Design and implement backend services, APIs, data models, and application logic, • Improve code quality through testing, refactoring, documentation, and better engineering practices, • Help connect deterministic tools and backend systems to user-facing workflows in a reliable and maintainable way, • Improve performance, usability, and overall engineering quality in the core product, • Collaborate across product, platform, and ML workstreams to ship production-ready features What success looks like by the end of the internship • Meaningful product features are shipped to a high standard, • Core backend code is cleaner, better tested, and easier to extend, • The product becomes more polished, more reliable, and more ready for production use What we’re looking for • 3+ years of relevant software development experience preferred through internships, startups, research labs, open-source work, or production projects, • Strong software engineering fundamentals, problem-solving ability, and ownership, • Experience with backend development, APIs, and relational databases preferred, • Experience with modern frontend frameworks and/or full-stack application development preferred, • Experience with testing, code review, debugging, and maintainable application design preferred, • Experience with Python and/or JavaScript/TypeScript preferred, • Comfort working in ambiguous product environments and translating product ideas into shipped software, • Strong communication and execution Nice to have • Experience with React, Next.js, FastAPI, Django, Node.js, or similar frameworks, • Experience with Postgres, workflow systems, dashboards, or analytics/data products, • Experience with auth, permissions, auditability, or evidence-heavy enterprise workflows, • Experience building AI-enabled product features or working alongside ML systems Work authorization Applicants must be authorized to work in the United States for the full internship period and must be based in the U.S. during the internship. We are not able to provide employment visa sponsorship for this internship. We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

Spalding, a Saalex Company is seeking a Data Scientist in Lexington Park, MD. Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the Department of Defense since 2001. Our expert-level solutions include software development, information technology, program management, financial management and business intelligence services. Spalding Consulting offers competitive compensation, career development, flexible work schedules and excellent benefits. Position Type: Full-Time Salary Range: $115K-$140K (depending on experience) Work Location: This is a remote position (see on-site requirements below). **On-Site Requirements: On-boarding will require 1-2 visits to Patuxent River, MD for candidates that are local to the area. Candidates out of state will be onboarded virtually. Training will be virtual and telework maximized/permitted to the greatest extent possible, however for local candidates, training/tasking may require on-site work a few hours per week. Future on-site/telework requirements/schedules may change as additional client direction is received. Job Description: • Managing new package requests and administering our data science package repository., • Gathering data from various sources, cleaning and transforming it into usable formats for analysis., • Applying statistical and machine learning techniques to uncover patterns, trends, and insights within datasets., • Analize complex datasets., • Visualize, interpret, and report data findings., • Create dynamic data reports., • Requirements Management, Schedule Estimation and Planning., • Collaboration and Coordination with members of a cross-functional team., • Other duties as assigned or required. Required: • At least five (5) years of experience performing duties similar to at least two (2) duties found in the Data Scientist description., • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related discipline is required. Desired: • Experience with 3rd generation programming languages such as Java, Python, C#, or C++ desired., • Experience with data science packages desired., • Knowledge of various machine learning techniques (e.g., clustering, decision trees, neural networks), model evaluation, and deployment desired., • Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS)., • Experience working with Application Lifecycle and Configuration and Knowledge Management software is highly desired., • Experience with GitLab is preferred., • Experience with UNIX Shell Scripting is desired., • Experience with Agile Methodology is desired. Security Clearance: • Must have active secret clearance and be eligible for Top Secret Clearance (SSBI). Requirements to obtain a clearance include US Citizenship, security investigation, etc. Education: • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related discipline is required., • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development, • Wellness Resources, • Stock Option Plan

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning., • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment., • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production., • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs. Responsibilities: • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions, • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences, • Collaborate with engineers to implement and scale research findings into production systems, • Prototype and test research ideas rapidly, balancing rigor with iteration speed, • Author internal reports and external publications that contribute to the broader ML research community, • Partner with model providers to shape evaluation questions and support responsible model testing, • Contribute to the scientific integrity and transparency of the The Client leaderboard and tools Who is The Client? Created by researchers from_, The Client is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, The Client is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback. Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI.,,, and. • High Impact: Your work will be used daily by the world’s most advanced AI labs., • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier, • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford. Requirements: • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field, • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow • Demonstrated ability to design and analyze experiments with statistical rigor, • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation, • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks, • Ability to translate research questions into practical systems and collaborate across engineering and product teams, • Passion for open science, reproducibility, and community-driven research What we offer: • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location., • Competitive salary and meaningful equity, • Comprehensive healthcare coverage (medical, dental, vision), • The opportunity to work on cutting-edge AI with a small, mission-driven team, • A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • Understand diverse data sources, both structured and unstructured., • 9+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering., • Experience with RAG and Vector Databases Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

This vacancy is part of a coordinated recruitment campaign for the Data Science Unit across Technopolis Group's offices. To check the general requirements or explore other locations, return to the _. Job title: Experienced Policy Data Scientist Consultant Location: Brussels Position: Full time / Permanent Technopolis Group is looking to grow its data science team. We are now looking to recruit a motivated and experienced Policy Data Scientist to join our Brussels team as a Consultant. About Technopolis Founded in 1989, Technopolis Group is an independent research and consultancy company, European leader in providing strategic policy advice to public sector institutions at the local, regional, national, and international levels (such as the European institutions) – as well as to third sector organisations, public-private partnerships and research organisations.Our Group is active in many areas such as R&I, Health, Higher Education, Green economy, Industry and entrepreneurship, Regional and urban development, Digital economy and Open science.We have grown steadily over the past 30 years and have and a track record of over 4,000 projects. Technopolis Group has offices in ten European cities and offices in Colombia (Bogotà) and Ivory Coast (Abidjan). Our team of consultants brings an educational mix in a variety of policy, social, environmental science disciplines, and linguistic richness, originating from 40+countries and covering 30+ languages.For more information: www.technopolis-group.com The team The selected person will be part of the Technopolis Group Data Science Unit (DSU), whose members work in different country offices. The growing team of DSU data scientists have diversified academic backgrounds but a shared passion for developing data science applications to improve policymaking. The unit works in policy consulting jobs for our clients but also conducts R&D to develop new, untested and exciting applications, potentially in collaboration with internal and external partners.The DSU is active in all types of data science applications in policymaking. See https://www.technopolis-group.com/solutions/data-analytics/. Examples include record linkage, building classifiers, semantic and sentiment analysis, web scraping and dynamic visualisations. Additionally, the team is looking forward to expanding its portfolio of techniques using real-time indicators, causal AI and generative AI. Experience in these last techniques, or a general understanding of their functioning combined with a demonstrable willingness to master them, is highly desirable.Main tasks and responsibilities The successful candidate will : • Shape policy recommendations using advanced data science methods and translate results into actionable messages for decision-makers, • Apply suitable data science techniques to deliver evidence-based consulting, • Develop and promote a proportionate and ethical use of AI and, • data science techniques, • Extract, clean, integrate and validate data from various sources to ensure high-quality datasets, • Develop dashboards and data visualisations to communicate insights effectively, • Prepare reports and presentations tailored to different target audiences, • Explain the strengths, limitations and opportunities of data science methods and internal databases to clients and non-technical colleaguesExperience and skills Applicants suitable for a Consultant position in data science should have: • A minimum of 3-5 years of experience in a consulting or research environment in data science applied to policy analysis, • A Master’s degree (or equivalent qualification) and demonstrate strong data science skills acquired through formal education (degree in data science, statistics or related), specialised training, or relevant professional experience. At least one of their academic degrees should be in a social science or a related field (such as economics, statistics, innovation studies, sociology, geography, or political science…) or include a strong foundation in the social sciences, • A PhD is a plus, • Knowledge of Python is required, knowledge of R and SQL is an advantage, • Experience of techniques such as NLP, machine learning, and LLMs is particularly desirable, • Experience with tools such as Git and Github, Docker and cloud platforms is highly desirable, • Beyond data science, applicants must have interest and experience in applied, policy-oriented work in at least one of Technopolis’ areas of specialisation. Our policy areas include science, technology and innovation policy, digital economy, climate and sustainability, entrepreneurship, health and life sciences, education and skills, international development and regional development., • Ability to deliver tasks under tight deadlines, • Strong communication and analytical skills, • Excellent command of spoken and written English is essential and fluency in other European languages is considered an assetWhat we offer, • A full time, permanent position, • An attractive salary package with benefits including hospitalisation insurance and a pension scheme, • A positive working atmosphere within a team of like-minded professionals in Brussels, while also being part of a larger international Group with multiple opportunities for international cooperation, • Good opportunities for career progression, from both a content perspective (thought leaders, methodological specialists) and in the areas of business development and company leadership We are committed to providing our employees with a supportive and rewarding work environment, and we offer a range of benefits to help them achieve their career goals and thrive in their roles.Career development: We believe in investing in our employees' professional growth and offer a range of opportunities for career development, including training programs, mentoring and coaching, and the chance to work on a variety of challenging projects across different sectors and regions. Our employees have access to a network of experts across the Technopolis Group, allowing them to learn from and collaborate with colleagues in other countries and areas of expertise.Work environment: We pride ourselves on our dynamic and supportive work environment, which is characterised by a culture of collaboration, innovation, and excellence. Our employees work in modern and comfortable offices, and we promote a healthy work-life balance with flexible working hours and the option of working from home. We also offer social events and activities, such as team-building exercises and cultural outings, to foster a sense of community and help our employees build strong relationships with their colleagues.We are an equal opportunities employer and welcome applications from all suitably qualified persons with a residency and work permit in Belgium. How to apply Applications can be done directly on Technopolis website (reference: DS0525) and include a cover letter and an Europass-style CV. Application deadline: 13 June 2025. Early applications are encouraged. Applications will be assessed on a rolling basis until the position is filled. Only short-listed candidates will be contacted. Applicants should have the EU citizenship or a valid work permit to apply.

Location: Arlington, VA; Pittsburgh, PA; or Remote Travel: Up to 75% Role Type: Full-time $140-$175K + up to 30% bonus + Equity We are a premier defense technology firm transforming National Security through software-driven strategic advantages. Our flagship AI-enabled platform modernizes the defense acquisition lifecycle—from supply chain and logistics to modernization and sustainment. By replacing outdated manual processes with high-fidelity data and advanced analytics, we empower the national security community and every branch of the military to make faster, more informed decisions for the future of defense. We are seeking an inquisitive Forward Deployed Data Scientist with deep expertise in Artificial Intelligence and a sophisticated understanding of complex Defense Acquisition challenges. You will work with proprietary and commercial datasets to uncover critical connections, derive actionable knowledge, and identify potential risks that help government leaders make mission-critical decisions. Your role involves designing, developing, and rapidly deploying scalable AI solutions that transform data into strategic capabilities. You must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver and a "scrappy" out-of-the-box thinker. You lead by influence, possess an intolerance for mediocrity, and are motivated to roll up your sleeves to produce simple, impactful solutions to complex problems. AI Innovation: Develop and deploy new AI methods and systems to solve complex defense challenges. Rapid Prototyping: Build AI models, heuristics, and agentic solutions from the ground up. Client Engagement: Work directly with customers to translate vague mission needs into concrete AI workflows and technical requirements. End-to-End Ownership: Take full accountability for client problems, from initial discovery to deploying production code into AI systems. Cross-Functional Collaboration: Partner with AI platform and data engineering teams to build end-to-end production solutions. Generalization: Wrap specific Data Science solutions into reusable agentic AI frameworks and features for broader deployment. Agentic Systems: Create agentic AI systems using AI orchestrators and advanced reasoning capabilities. U.S. Citizenship is required. Required Skills: Technical Translation: Proven ability to embed with clients, understand vague national security challenges, and translate them into concrete technical documentation for multiple teams. Prototyping & Deployment: Expertise in rapidly prototyping agentic solutions and deploying production-grade code. Impact Measurement: Experience evaluating, tuning, and measuring the real-world impact of AI/DS solutions. Agentic Frameworks: Competency in building agent skills to solve specific problems and integrating those solutions into broader frameworks. Communication: Strong ability to communicate complex concepts clearly to both technical and non-technical users. Desired Skills: Academic Excellence: A strong publication record in top AI, ML, NLP, or Decision Science conferences. Evaluation Systems: Deep knowledge of LLM and Agentic system evaluation. Specialized Domains: Expertise in Operations Research, Optimization, or Decision Science. Enterprise Scaling: A track record of successfully transitioning research prototypes into robust, production-grade enterprise solutions.

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Staff Scientist – Quantum Financial Services. As a Senior Staff Scientist – Quantum Financial Services, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. Our ideal candidate would be a thought leader of transformative technologies, subject matter expert in quantitative finance, and expert developer of quantum algorithms that are poised to disrupt the finance industry. You will span wide and dig deep to identify, champion and deliver hybrid applications where IonQ trapped-ion quantum computers can unlock new value. As a role model for a team of PhD application scientists, you will lead by example to develop novel algorithms, core IP and end-to-end workflows that can be incorporated by finance organizations into their workflows. You will also work closely with product, marketing, sales, operations and external customers/partners to brainstorm new ideas, define multi-year roadmaps and represent IonQ at high-visibility conferences. Often in a single day. Responsibilities: • Grow IonQ’s impact and reach across the Financial Services sector by fostering relationships with clients and developing hybrid quantum applications that will deliver commercial impact., • Be an intrapreneur within the company to shape, champion and deliver on a multi-year Quantum Financial Services roadmap., • Lead by example the process of developing state-of-the-art hybrid quantum applications optimized for CPU, GPU and IonQ trapped-ion QPU., • Collaborate across compiler, system, cloud and partner teams to integrate quantum algorithms within larger hybrid software platforms and workflows., • Be a go-to technical leader and decision maker for a team of talented PhD scientists, • Grow the team capacity both through hiring and developing capabilities from within, • While this role is remote-friendly and highly flexible, candidates must be able to travel to global customer sites and attend virtual meetings during non-core hours. You’d be a good fit with: • PhD in Computer Science, Math, Physics, Electrical Engineering or similar level of professional experience in a relevant field, • 13+ years of professional experience or an equivalent combination of education and experience, • 7 years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Technical or people leadership experience, including hiring and growing from within, • Track record of scaling up software from research-grade artifacts (Matlab, Julia, R, Jupyter Notebook) to beta-customer to full release. Experience integrating research-grade artifacts into pre-existing code bases, • Active portfolio of high-impact scientific papers in quantum computing, AI or ML with a focus on finance applications You’d be a great fit with: • 10+ years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Hands-on experience developing and optimizing quantum algorithms using quantum SDKs such as Qiskit (preferred), CUDA-Q, Cirq, Q#, Penny Lane and Torch Quantum., • Success as an originator and team leader to design, develop and deliver solutions that deliver value to the finance industry, • Professional experience as a trader, quant, FP&A, management consultant, etc., • Professional experience developing quantum algorithms for finance; either on an in-house quantum team within a financial organization, or else working at a quantum vendor serving the financial sector Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US. Travel: Up to 10% with a priority to visit customers and partners Job ID: 1060 The approximate base salary range for this position is $162,920 - $213,304. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, a quick 15-minute metro from Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, or Toronto. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for may require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying U.S.-person status for export controls and government contracts work and/or obtaining any necessary license/confirming the availability of a license exception under U.S. export controls. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(_) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: The Senior BI Analytics Engineer is a core technical role in Jamf’s data organisation. You’ll own the design and delivery of trusted data models across the Jamf Data Platform, from source-aligned staging layers through to the business-facing marts and semantic views that power BI, financial reporting, and product analytics. This is an end-to-end role: you think in systems, not just queries. You’ll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ensure data is accurate, well-defined, and genuinely useful. As AI-powered analytics becomes central to how Jamf operates, you’ll also play a key role in building the semantic foundation that enables natural language querying through tools like Snowflake Cortex Analyst. You’ll raise the bar on data quality, drive best practices across the discipline, and help make the Jamf Data Platform a genuine competitive asset. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in one of these locations. What you can expect to do in this role: • Design and build robust downstream data models using the Trusted Data Development workflow, covering range of analytics and integration use cases., • Design and maintain Snowflake semantic views with rich metadata annotation, business definitions, entity relationships, and column-level descriptions, enabling reliable AI-driven and natural language querying via tools such as Snowflake Cortex Analyst., • Partner with Data Platform and AI Architecture teams to build solutions that bridge structured analytics with natural language interfaces, making Snowflake data reliably queryable by AI agents and business users., • Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading code reviews, and acting as the code owner and BI reviewer for specific schemas., • Champion data quality and trusted data models implementing testing frameworks, driving data profiling, and partnering cross-functionally to resolve quality issues at their source., • Own one or more business stakeholder relationships, translating requirements into well-integrated data designs and ensuring raw data is accurately interpreted across business units, drawing on depth in at least two major data domains such as marketing, sales, finance product, or engineering., • Drive Data Platform optimisation identifying opportunities to reduce cost and complexity, contributing to the Data Catalog, and leading prioritisation of data governance issues., • Upskill analysts and business partners through code pairing, training, and documentation scaling data acumen and enabling self-service analytics across the organisation., • Lead multiple analytics projects from beginning to operationalization, • #LIRemote What we are looking for: • Minimum of 6 years in Data as an Analyst, Engineer, Scientist, or equivalent (Required), • Minimum of 2 years managing the same data model system over time, extending it to satisfy multiple general business use case. (Required), • Minimum of 4 years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (Required), • Minimum of 3 years building and maintaining data models using dbt, with demonstrable experience across modelling layers, testing, and documentation (Required), • Experience developing semantic views or semantic layer data models designed for LLM or AI integrations, including metadata standards, business glossaries, and column-level descriptions that support reliable AI-driven querying, using tools such as Snowflake Cortex Analyst, dbt Semantic Layer, or equivalent (Required), • Experience building data solutions that support NLP-based querying, such as Text-to-SQL pipelines or conversational analytics interfaces that operate over structured data (Required), • Experienced in Scrum or Kanban (Preferred), • General knowledge of Apple products and SaaS business models (Preferred), • Ability to communicate complex ideas simply and convincingly, • Ability to listen to stakeholder needs and finds way to deliver well integrated solutions that serve specific needs., • Significant hands-on experience is the primary requirement for this role. A Bachelor’s Degree in Science, Technology, Engineering, Mathematics, or a related field is one route, but equivalent experience will be considered, • A combination of relevant experience and education may be considered SECURITY AND PRIVACY REQUIREMENTS • Participation in ongoing security training is mandatory, • Established security protocols will be adhered to, sensitive data will be handled responsibly, and data protection practices are followed, including understanding relevant privacy regulations and reporting breaches, • Acknowledging the Jamf Code of Conduct, where applicable security and privacy policies can be found, is a requirement of all roles at Jamf How we help you reach your best potential: • Named a 2025 Best Companies to Work For by U.S. News, • Named a 2024 Best Technology Company to Work For by U.S. News, • Named one of Forbes Most Trusted Companies in 2024, • Named a 2024 Best Companies to Work For by U.S. News, • Our developers work in agile delivery teams to produce new features, improve software components, and are the subject matter experts for our Jamf product offerings., • You will have the opportunity to make a real and meaningful impact for more than 75,000 global customers with the best Apple device management solution in the world., • We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple., • Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software., • You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect., • We offer a clear career path that enables you to grow under supportive leadership and management, • Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering, • 22 of 25 world’s most valuable brands rely on Jamf to do their best work (as ranked by Forbes)., • Over 100,000 Jamf Nation users, the largest online IT community in the world. Pay Transparency At Jamf, base pay is one part of our total compensation package and is set within a defined range. These ranges can vary based on hiring location. Where an individual's pay falls within that range depends on several factors, including role scope, location, budget, skills, experience, and qualifications. This approach helps ensure fair, competitive pay and provides room to grow as you develop in your role. Pay Transparency Range $103,100 - $186,780 USD What it means to be a Jamf? We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture flows from a spirit of selflessness and relentless self-improvement - driving both personal growth and collective progress throughout our company. We unite around common goals while respecting personal approaches, believing that fulfilled individuals create a thriving, vibrant workplace. Our aim is simple: hire exceptionally good people who are incredibly good at what they do and let them do it. We provide the support and resources to let everyone be their authentic, best selves at work, at rest, and at play. We are committed to supporting the continual improvement of Apple in the workplace, the organizations that rely on them and the people who keep it all running smoothly. Above it all, waves our banner of #OneJamf – and the knowledge that when we stand together, we accomplish so much more than we could alone. We seek individuals who share this unwavering journey toward growth to join us in our quest for constant improvement. What does Jamf do? Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same, and be as secure as, using a personal device. With Jamf, customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security – anytime, anywhere – to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline communications in healthcare between patients and providers. More than 2,500 Jamf strong worldwide, we are free-thinkers, can-doers, and problems crushers who are encouraged to bring their whole selves to work each and every day. Get social with us and follow the conversation at #OneJamf Jamf is committed to creating an inclusive & supportive work environment for all candidates and employees. Candidates with disabilities or religious beliefs are encouraged to reach out if they need additional support or alternative options to our recruiting processes to accommodate their disability or religious belief. If you need an accommodation, please contact your Recruiter or Recruiting Coordinator directly. Requests for accommodation will be handled confidentially by Recruiting and will not be shared with the hiring manager. Jamf is an equal opportunity employer and does not discriminate against individuals who request reasonable accommodation for disability or religious beliefs. To request accommodations please email us at _

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases Provide guidance for proposals on feasibility of scope and how to ensure impact Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform Engage with customer users to provide informal support, tips, and troubleshooting Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans Participate in reviews with customers to document and improve measurable impact Provide feedback to Product and Sales teams to align offerings with customer needs Follow advancements in data science, machine learning, and healthcare analytics Commitment to understanding customer needs and helping them achieve goals Creative mindset with a passion for tackling challenging problems with data Ability to collaborate with diverse users and internal teams Strong communication skills: verbal, code, visualizations, and maps Strong foundation in machine learning, data modeling, and predictive analytics Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred Comfort working in a dynamic environment with evolving priorities and customer needs Proficiency in Python and associated data science technologies Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools Expertise in SQL or NoSQL databases preferred 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field Experience with more than one company size or business stage preferred Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: Equity & Incentives – Participation in our stock option program. Flexible Time Off – Autonomy to manage your schedule and work-life balance. Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion—and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Senior Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Director of Data Science As a Senior Data Scientist at Trella, you will: • Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella’s proprietary solutions., • Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data., • Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency., • Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data., • Support modernization by refactoring legacy SAS scripts into Databricks., • Act as a subject matter expert on healthcare data sources, calculations, and methodologies., • Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements., • Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: • 5+ years of experience in data science, preferably within healthcare space., • Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows)., • Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows., • A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts., • Experience with statistical modeling including regression, imputation techniques, and risk scoring., • Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI)., • Excellent problem-solving, time management, and communication skills., • Familiarity with software development tools like Jira, Confluence, and Bitbucket., • A passion for using data to improve healthcare and a love for solving complex problems., • Bachelor's or Master’s degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: • Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems, • Over 150 team members and growing, • Recognized as one of Modern Healthcare’s “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn, • Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion—and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: • Health, Dental, Vision & Voluntary Benefits, • Competitive Salary & Bonus Plans, • 401k Retirement Savings, • Flexible PTO & 10 Paid Holidays, • Flexible Work Hours, • Equity Shares, • Paid Leave Programs, • Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

About Us About the Role We are looking for a senior machine learning operations engineer who understands data pipelines, infrastructure, and model monitoring. In this role, you will work closely with our data science and data engineering teams to help us productionize and maintain advanced machine learning models. As the first machine learning operations engineer on our small data science team, your work will be critical to both the data team at The Athletic and the company as a whole. This role is 100% remote for candidates currently residing in either the United States or Canada. • Design, build, and maintain machine learning model productionization infrastructure. These models will drive very visible product features at The Athletic, and your infrastructure is key to their success., • Work with the rest of the data science team to streamline model training, validation, and deployment., • Implement robust monitoring and alerting for model performance, drift, and data quality, ensuring our models remain accurate in production., • Cultivate an outstanding data science environment by championing best practices in ML Ops and evaluating and integrating new technologies into our data science stack., • 4-6 years of experience as a data scientist, data engineer, or machine learning engineer with a proven ability to build machine learning model pipelines and infrastructure., • Strong working knowledge of Python and SQL to pull, transform, and otherwise deal with data in all of its forms., • Proven experience with ML frameworks (e.g., scikit-learn, PyTorch) and cloud platforms (e.g., GCP, AWS, Azure)., • Hands-on experience with Docker, Kubernetes, and Airflow., • Ability to drive projects with minimal guidance and prioritize high-impact work., • Strong verbal and written communication skills with ability to build cross-functional relationships., • Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.The annual base salary range for this role is $140,000.00 - $150,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also include non-cash rewards and benefits. The base salary range is subject to change and may be modified in the future. The Athletic offers unique perks and benefits to all full-time employees based on their country of residence. Our comprehensive US benefits package includes: • Highly competitive, employer-contributed medical, dental, vision, basic life and disability insurance plans.- Savings accounts for medical, wellness, and childcare expenses.- 401k retirement savings plan and employer match.- Paid time off including paid sick leave, 12 paid holidays, 15 days of accrued vacation to start, and up to 20 weeks of Paid Parental Leave. For international candidates: Our global benefits packages offer similar benefits and perks, competitive to the local market. The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law. Click here to review our _, which describes how and when The Athletic Media Company collects, uses, and shares certain personal information of job applicants and prospective employees. Beware of fraudulent job recruiting schemes! Our recruiters use exclusively, and our team members will use an email address with @ domain. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information, such as bank accounts or social security numbers. If you have been contacted by someone claiming to be a member of the recruiting/HR team at The Athletic but operating from a different email address about a job offer, please report it as potential job fraud to the law enforcement and to _.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a highly motivated Visiting Scientist (Postdoctoral Researcher) to join our AI Research (AIR) team for a one-year residency. In this role, you will work directly with Dr. Mirela Tulbure during her sabbatical at Planet to develop our proprietary geospatial foundation models (GFMs). While Planet has historically leveraged external models, we are now focused on building in-house models specifically trained on our unique imagery. As a postdoctoral researcher, you will be the primary technical engine behind creating temporally dense embeddings that capture the dynamic and ephemeral nature of our planet—such as rapid flooding and disaster impacts. You will collaborate with "Planeteers" across data pipelines and analytics to bridge the gap between academic research and operational AI/ML solutions. Impact You’ll Own: • GFM Implementation: Contribute to the design and training of a foundation model specifically optimized for Planet imagery, focusing on the integration of time-series data., • Technical Benchmarking: Execute the systematic evaluation of existing GFM architectures (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to identify performance bottlenecks and transferability., • Prototype Development: Build and test workflows for detecting short-lived events, such as floods and fires, using high-cadence embeddings., • Multi-Sensor Data Fusion: Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover., • Research to Production: Work closely with Planet’s research scientists to transition experimental prototypes into scalable, operational products., • Scholarly Contribution: Co-author findings for publication in top-tier journals and present research at leading conferences like IGARSS or CVPR. What You Bring: • Academic Foundation: A recently completed PhD in Geospatial Analytics, Computer Science, Remote Sensing, or a related field., • Research Track Record: Demonstrated experience in building AI-based models for environmental change or satellite image analysis., • AI/ML Fluency: Hands-on experience with foundation models, contrastive learning, and deep learning frameworks (PyTorch/TensorFlow)., • Advanced Technical Stack: Expert-level Python skills and proficiency with the geospatial scientific stack (e.g., xarray, Dask, Rasterio, GeoPandas)., • Data Engineering Aptitude: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets., • Collaborative Research: Experience working within a research lab environment and a strong desire to apply academic rigor to industry challenges. What Makes You Stand Out: • Specialized Domain Knowledge: Prior research in flood-extent mapping, water dynamics, or disaster response., • GFM Fine-Tuning: Direct experience fine-tuning or modifying specific GFM architectures like TerraMind, Prithvi, or Clay., • Multi-Sensor Expertise: Proven ability to work with a variety of sensors including PlanetScope, Landsat, and Sentinel-1/2. Operational Mindset: A history of developing "human-in-the-loop" workflows or active learning strategies for labeling time-sensitive data. Application Deadline: August 12, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range $144,500 - $180,600 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. This is a highly collaborative, hands‑on technical leadership role for someone who enjoys owning complex data problems end‑to‑end and acting as a force multiplier for other data scientists and product teams. Develop and implement advanced analytics on top of noisy, heterogeneous RiskOS data to understand user behavior, product usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements. Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform. Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline documentation, and enhance RiskOS workflows and reporting. Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human‑in‑the‑loop review, safety and hallucination checks, and impact measurement in production. Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks for both traditional ML and GenAI systems. Own end‑to‑end deployment of production‑grade solutions: packaging models and GenAI workflows, integrating with RiskOS services, establishing SLAs, and instrumenting telemetry, alerting, and feedback loops. Develop and automate tools for model evaluation, stress testing, backtesting, and adversarial scenario simulation to ensure robustness and operational resilience—especially in high‑risk fraud and compliance contexts. Enable product and risk teams through self‑serve analytics and tools: build dashboards, template analyses, and GenAI‑driven assistants that help non‑technical users explore RiskOS data, tune workflows, and debug decisions. Collaborate cross‑functionally with product, engineering, risk, solution consulting, and customer‑facing teams to translate business requirements into data‑driven solutions and actionable insights, particularly for fraud and risk use cases on RiskOS. Mentor and provide technical guidance to other data scientists and analysts, modeling best practices in experimentation, software engineering hygiene, GenAI safety, and rigorous model evaluation. Ensure all solutions adhere to best practices in data privacy, security, and compliance, especially when handling sensitive PII and financial data in regulated fintech and public‑sector environments. Contribute to company‑wide standards for ML and GenAI explainability, risk evaluation, feature logging, and documentation, helping raise the overall AI bar across Socure. Communicate complex technical concepts and findings clearly to both technical and non‑technical stakeholders, including executive leadership and external partners. Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience. 6+ years of hands‑on experience in data science, machine learning, or high‑scale data engineering roles, with a proven track record in fraud prevention, risk analytics, or complex decisioning systems. Strong experience applying Generative AI in production or near‑production contexts, including: Building and evaluating LLM‑based applications or agents (e.g., retrieval‑augmented generation, workflow assistants, data‑insight copilots). Prompt design and optimization, safety and guardrail techniques, and quantitative/qualitative evaluation of LLM outputs. Deep proficiency in Python and SQL, with hands‑on experience using ML frameworks such as scikit‑learn, XGBoost, TensorFlow, or PyTorch, plus modern GenAI/LLM tooling (e.g., OpenAI/Anthropic APIs, Hugging Face ecosystems, orchestration frameworks). Demonstrated experience building and maintaining scalable data pipelines and deploying ML models in production environments, ideally involving streaming or near‑real‑time data and modern data platforms (e.g., Databricks, Spark, PySpark, BigQuery, or similar). Solid understanding of data engineering concepts, including ETL, data warehousing, schema design, and distributed computing. Experience with platform‑oriented data science: working with feature stores, model‑serving infrastructure, CI/CD for ML, automated monitoring, and feedback collection workflows. Hands‑on experience wrangling messy, high‑volume datasets: designing robust cleaning, normalization, and quality‑control processes; reasoning under missing or biased data; and building reusable data abstractions for other users. Familiarity with privacy‑preserving ML techniques, secure data handling, and regulatory requirements in fintech, credit, or public‑sector environments is strongly preferred. Proven ability to collaborate effectively in cross‑functional, fast‑paced teams; strong communication skills with comfort presenting trade‑offs and recommendations to senior stakeholders. Product‑minded and outcome‑oriented: you care about how models and GenAI tools are used, how they shape user experience and risk posture, and how to measure their real‑world impact. Direct experience with fraud/risk modeling, identity verification, or trust & safety. Prior work on orchestration platforms, case‑management tools, or rules/decision engines. Experience mentoring senior ICs and setting technical direction for a small data science group. Please note that we are unable to provide sponsorship for this role; now or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a distinguished Visiting Staff Scientist to join our AI Research (AIR) team for a one-year sabbatical residency. In this role, you will play a pivotal part in our mission to create a “Queryable Earth” by leading the development of Planet’s proprietary geospatial foundation models (GFMs). While Planet has historically leveraged external models like Google’s RSFM and RemoteCLIP, we are now focused on building in-house models specifically trained on our unique imagery. You will lead research into creating temporally dense embeddings that go beyond static annual summaries, capturing the dynamic and ephemeral nature of our planet—from rapid flooding to disaster impacts. You will collaborate with a multi-disciplinary team of "Planeteers" across space operations, data pipelines, and analytics to co-develop AI/ML solutions that leverage the high spatial resolution and near-daily revisit of PlanetScope data. Impact You’ll Own: • Develop Planet’s Proprietary GFM: Lead the research and development of a foundation model specifically trained on Planet imagery, incorporating the time-axis to create high-cadence time-series embeddings., • Benchmark Geospatial Architectures: Systematically evaluate and compare existing GFMs (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to assess performance, computational cost, and transferability., • Capture Dynamic Earth Events: Design embeddings and workflows optimized for detecting short-lived, high-impact events such as floods, rapid surface-water expansion, and fire., • Multi-Sensor Integration: Explore the synergy between PlanetScope, Sentinel-1 SAR, and other commercial SAR data to ensure robust time-series analysis even under cloud cover., • Human-in-the-Loop Innovation: Use embeddings to design active learning workflows that prioritize labeling and reduce the annotation burden for time-sensitive mapping tasks., • Academic & Technical Leadership: Publish findings in top-tier journals and present at conferences (e.g., IGARSS, CVPR), highlighting PlanetScope’s unique value in the foundation model ecosystem., • Mentor & Collaborate: Oversee the technical direction of a dedicated postdoc and collaborate with Planet’s research scientists to transition prototypes into operational products. What You Bring: • Distinguished Academic Background: PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field., • Deep Domain Expertise: 12+ years of experience in remote sensing and satellite image analysis, with a proven track record in building AI-based models for environmental change (e.g., flood-extent, water dynamics)., • Multimodal AI Fluency: Extensive experience with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs)., • Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope, Sentinel-1) and high-resolution mapping at varying scales (3m, 10m, 30m)., • Technical Proficiency: Expert-level Python skills and experience with the scientific stack (xarray, Dask, NumPy, Rasterio, GeoPandas) and deep learning frameworks., • Scale-Minded Research: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets., • Collaborative Spirit: A history of leading research labs and a desire to work in a fast-paced, industrial R&D environment. What Makes You Stand Out: • Specialized Environmental Research: Extensive experience specifically in flood damage quantification and methane-related water dynamics., • Proven Funding & Publication Record: History of leading NASA-funded or similar high-impact geospatial research projects., • Architectural Knowledge: Direct experience fine-tuning or modifying specific GFM architectures like TerraMind or Prithvi. Hybrid Experience: A mix of deep academic rigor and the ability to prototype rapid-change monitoring tools for operational readiness. Application Deadline: August 11, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range $231,500 - $289,400 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

About us: Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money. Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases. At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment: 👥 Customer First - You start with the member and work backwards. 🚀 Make It Happen - You act with urgency, use data, and hold high standards. 🤝 One Team - You collaborate with respect and commit as a group. Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food. About the role: We are seeking a Staff Data Scientist to own the analytical strategy across Foodsmart's Member growth engine. This role spans two tightly coupled domains: marketing analytics and product analytics. On the marketing side, you will own the end-to-end acquisition funnel — from marketable lives through initial visit completion — across both our outbound (call center) and inbound (scheduling referral) channels. On the product side, you will own the member-facing funnel: onboarding flow, sign-up conversion, and the in-app experience through a member's completed first appointment. These two domains are intentionally paired because growth and product are deeply interdependent — the effectiveness of our acquisition investment is shaped by what happens the moment a member enters our product experience, and optimizing the full funnel requires owning both sides of that handoff. This is a high-impact, dom ain-owning role reporting to the VP of Analytics & Data Science. You will own the executive narrative on marketing and product funnel performance, lead our experimentation and causal inference program across both domains, and build the attribution, lifecycle, and product analytics models that shape how Foodsmart invests in acquisition and member engagement. You will also be a core contributor to building out Foodsmart's event tracking infrastructure and product analytics foundation — including our Statsig implementation — establishing the measurement architecture that makes rigorous product experimentation possible. This is a full-stack data science role. We are not looking for a pure statistician or a pure analytics engineer — we need someone who operates across the entire analytical stack: from dbt source models and semantic layer design, to BI dashboards and self-service tooling, to predictive modeling, causal inference, and optimization work. At Foodsmart, durable insight requires owning the data foundation it sits on, and impactful models require the communication infrastructure to drive decisions. We expect this person to be strong across all of it. We are a small, flat, fast-moving team that leans hard into AI-native tooling. We use Hex and its AI Agent for analysis, Omni with deep context engineering to power stakeholder self-service through its AI Agent, and we are actively expanding our use of Claude and Claude Code across our workflows. We want someone who treats these tools as force multipliers for their own output and who actively engineers context into our data models so that stakeholders can self-serve — not someone who sees analytics as a hand-cranked request queue. • Own the analytical strategy for the end-to-end marketing funnel, from marketable lives to lead generation to omni-channel engagement strategy to visit completion and re-engagement. This includes our call center function (outbound rep allocation, inbound referral scheduling, ZCC data) and member lifecycle (Customer.io journey performance, reactivation, and initial visit completion optimization)., • Own the product analytics domain: onboarding funnel, sign-up conversion, in-app engagement, and the member experience through completed first appointment. Partner with the top-of-funnel product team as their embedded analytical lead, attending product cadences and co-owning the product analytics roadmap., • Serve as the executive-facing owner of the marketing and product performance narrative: explaining why marketable lives, funnel conversion, and initial visit completion moved, what levers drove the result, and what to double down on., • Design and lead Foodsmart's experimentation program across both marketing and product, including test design, causal inference methods, readout discipline, and the intake process for stakeholder-driven test ideas. Own the StatSig implementation and serve as the internal expert on experiment instrumentation, StatSig configuration, and results interpretation., • Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling as Foodsmart's channel portfolio grows., • Partner with Growth Marketing leadership as the embedded analytical lead: attending marketing cadences, co-owning the analytics roadmap, and driving insight into action., • Own and evolve the dbt data models for the marketing and product domains — from raw source modeling through mart-layer metrics — ensuring data quality, test coverage, documentation, and a semantic layer that makes self-service trustworthy. This is a core craft expectation of this role, not a secondary responsibility., • Engineer context into our semantic layer and BI environment (Omni) so that stakeholders and AI agents can reliably self-serve answers across the marketing and product funnel. You treat context engineering — writing descriptions, defining metrics, curating what's exposed — as a first-class part of your job., • Drive the narrative, not just the numbers — translate findings into clear, actionable recommendations for executive and marketing leadership audiences., • Raise the bar for the analytics team on the craft areas central to this role — experimentation design, dbt modeling patterns, and context engineering. You don't manage anyone, but you operate as a technical leader: establishing best practices, reviewing work, and making the team around you better., • An operator who thrives in flat, fast-moving teams. You need minimal guidance to drive outcomes and default to taking ownership rather than waiting for direction., • A domain-owning IC who is comfortable being the single point of accountability for a critical business area and the executive-facing voice on its performance., • A rigorous experimentalist who treats causal inference as a core craft, not a buzzword — with a point of view on what makes a test trustworthy and how to teach causal thinking to business partners., • A strategic partner who can translate a high-level business problem into a concrete analytical roadmap and influence senior leaders across marketing, product, clinical, and finance., • A full-stack analytics practitioner — strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and data science (predictive modeling, causal inference, optimization) — who doesn't silo into pure stats/Python work and understands that durable insight requires owning the data foundation, not just the models on top of it., • Deeply fluent with AI-native tooling — you see tools like Claude, Claude Code, and in-BI AI agents as a core part of how you get leverage, and you have a point of view on how to engineer the context and semantic layer that makes AI-driven self-service trustworthy., • Bachelor's degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master's degree is a plus., • 8+ years of experience in data science, analytics, or experimentation, with a proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes., • Deep, hands-on expertise in experimentation and causal inference. You have designed and interpreted rigorous tests (A/B, quasi-experimental, geo-lift) and can defend methodology choices under scrutiny., • Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling) and a clear point of view on the tradeoffs between approaches., • Experience owning lifecycle analytics, ideally including hands-on work with Customer.io, Braze, Iterable, or a similar platform., • Hands-on experience with product analytics instrumentation — event tracking, funnel analysis, and experimentation platforms (Statsig, Amplitude, Mixpanel, or equivalent) — and a point of view on what good product measurement infrastructure looks like., • Experience with call center or contact center analytics is a plus. We leverage Zoom Contact Center (ZCC) for our outbound and inbound scheduling teams., • Expert-level proficiency in SQL and strong proficiency in Python (pandas, scikit-learn, statsmodels, etc.)., • Deep, production-level experience with dbt — including source and mart-layer modeling, testing, documentation, and semantic layer design. You have owned a dbt project end-to-end, not just contributed to one., • Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent)., • Proven fluency with AI-native developer and analyst tooling — Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent — used in production analytical workflows., • Experience working in marketplace business models and/or adjacent to healthcare, Medicaid, or a similarly regulated domain is a plus but not required., • Excellent communication skills. You can distill complex models, test results, and funnel diagnostics into clear, actionable recommendations for executive and marketing-leadership audiences. $170,000 - $200,000 a year Role: Staff Data Scientist, Growth Analytics Location: Remote, USA Base Salary Range: $170,000 - $200,000 base + bonus Our salary ranges are determined by role, level, and location. Individual pay is determined by work location, job-related skills, experience, and relevant education or training. About our benefits and perks: ✅ Remote-First Company ✅ Unlimited PTO ✅ Flexible & remote location ✅ Healthcare Coverage (Medical, Dental, Vision) ✅ 401k & bonus ✅ Registered Dietitian Sessions Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Responsibilities: • Manage data scientist and data specialist team., • Identify the efficient source for quality data collection,, • Lead data collection and data mining processes., • Ensure and guarantee data integrity., • Analyze data and interpret data problems., • Plan project, prioritize and streamline all planned data projects., • Develop a proper analytic system according to the requirements., • Analyze and test the performance of the products., • Build reports on the visualization and performance of the products., • keep implementing new techniques and models., • Line up the data projects according to the goals of the company. Job Skills: • Bachelor’s degree in Data Science, Computer Science, or other related fields., • Proven experience in Data Science and other related fields., • Good understanding o techniques of data management and visualization., • Expertise in statistical data analysis and predictive data modeling., • Good technical and coding knowledge of Python, R language, MATLAB, SQL, and other databases., • Outstanding communication skills., • Inspiring leadership qualities and organizational skills._

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation., • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers., • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions., • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products., • Contribute to the development of best practices for machine learning within the Women's Health team., • Present and communicate complex technical concepts to diverse audiences. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science., • 5+ years of advanced programming experience in Python and SQL., • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing., • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms., • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences., • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively., • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,000 - $203,000, • Region 2 $158,000 - $187,000, • Region 3 $147,000 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: • Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention, • Influence strategic roadmaps through data-driven insights into user behaviors and needs, • Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis, • Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions, • Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization, • Work cross functionally with product, engineering, and design teams to ensure insights make it to the product, • Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 6+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Expert knowledge of SQL and relational databases, • Familiarity with statistical analysis and the preferred programming languages of the team (R / Python), • Demonstrated ability to influence and guide product strategy with data, • Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way, • Familiarity with causal inference techniques and causal models, • Excellent communication and experience working with senior leaders / stakeholders, • Entrepreneurial, self-directed, and enthusiastic about solving problems, • Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit, • Conform in innovative and fast-paced environments, and have a bias toward action., • Can discuss complex topics with technical and non-technical audiences Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$217,000—$303,900 USD Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at _.

JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases. Key Job Functions: • Design and develop machine learning and AI models detect/mitigate fraud, • Support stakeholders and cross-functional teams in effective usage of models, • Drive AI transformation for all risk management activities at BILL, • Work with product/engineering to implement, monitor and refine AI solutions and models Expected Outcomes: • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions., • Utilize data analysis to design and implement fraud models, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Development of dashboard and visualizations to track KPI of fraud models implemented Preferred Skills: • Machine Learning & Artificial Intelligence, • Data Science, • Model development, • Dashboard Creation, • Project Management, • Strong Communication Skills. Notes from Hiring Manager: • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced., • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Role: Data Scientist Location: Remote, USA Duration: Fulltime Employee Job Overview: • Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP., • Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction., • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency., • Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments., • Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders., • Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems., • Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment. Must Have: • Minimum 6 years of experience as Data Scientist., • Strong SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure., • Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit _. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. We are seeking a PR pro who thinks like a data journalist and knows that the best earned media campaigns are built on unique, attention-grabbing insights. As Data PR Manager, you'll leverage Life360's internal data to surface trends that are culturally relevant, genuinely surprising, and impossible for the media to ignore. You'll craft stories that shape our brand narrative in the press and help position the Life360 ecosystem as a reflection of modern family dynamics. This is an individual contributor role reporting into a Director of PR and Communications. This role sits at the intersection of communications, analytics, and culture, requiring strong editorial instincts and the ability to translate business and product insights into narratives that support our broader company strategy. You will own how data shows up in our communications strategy, building a repeatable approach to delivering stories that drive consistent coverage and impact. The US-based salary range for this position is $166,500 to $195,000. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. Primary responsibilities include, but are not limited to: • Identify and develop media-worthy story angles from Life360's internal data, turning complex datasets into compelling earned media campaigns., • Own and execute proactive PR strategies that generate consistent, high-quality coverage in national and consumer media., • Build a repeatable data storytelling engine, defining key themes, tentpole moments, and always-on narratives that position Life360 as a source of cultural insight., • Identify and lead opportunities to combine Life360 data with external datasets (e.g., census data, third-party research, or brand partnerships) to unlock new story angles and elevate the scale and impact of our data storytelling., • Monitor social media, cultural trends, and news cycles to spot timely story hooks that connect to our data and our audience., • Partner closely with data, analytics, product, and insights teams to scope analyses, validate findings, and ensure all external storytelling is accurate, responsible, and defensible., • Translate complex datasets into clear narratives, key takeaways, and media-friendly framing that resonate with external audiences., • Write pitches, press releases, reports, and supporting materials that bring our data stories to life., • Lead the development of data reports and signature studies that can anchor major PR moments and elevate Life360’s thought leadership., • Build and nurture relationships with reporters, editors, and producers across tech, consumer, parenting, lifestyle, and culture beats., • Manage external PR agencies and freelancers where needed, ensuring brand and story alignment., • Track and report on earned media performance, sharing learnings that sharpen future campaigns., • Use AI daily to serve as a multiplier:, • Use AI to accelerate data analysis and surface patterns, anomalies, and story-worthy insights from large datasets., • Deploy AI-powered listening and summarization tools to track trending topics, breaking news, and competitor coverage in real time., • Aggregate coverage, extract key metrics, and generate performance summaries that surface what's working and why., • Generate hypotheses, run exploratory analysis on internal datasets, and stress-test story angles., • Collaborate cross-functionally with marketing, social, and brand teams to amplify data stories and integrate data insights into campaigns, product moments, and broader company initiatives., • 8+ years of PR experience, with a strong track record of placing stories in top-tier consumer or national media., • Proven experience building data-driven PR campaigns — you've turned a dataset into a headline before, and you know how to do it again., • A nose for a story. You can look at a table of numbers and immediately know whether there's something there., • Strong instincts around cultural trends and social media — you're chronically online in the best possible way., • Excellent writing skills. You write pitches that actually get opened, and press releases that don't read like press releases., • Comfort working with data and analytics tools. You don't need to be a data scientist, but you should be able to hold your own in a conversation with one., • A collaborative spirit. You work well with data, product, and marketing teams to get the story right before it goes out., • Experience at a consumer tech company or agency is a plus, as is a background in data journalism or brand research., • Competitive pay and benefits, • Medical, dental, vision, life and disability insurance plans (100% paid for employees), • 401(k) plan with company matching program, • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being, • Flexible PTO, 13 company-wide days off throughout the year, • Winter and Summer Weeklong Synchronized Company Shutdowns, • Learning & Development programs, • Equipment, tools, and reimbursement support for a productive remote environment, • Free Life360 Platinum Membership for your preferred circle, • Free Tile Products Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference • Be a Good Person - We have a team of high integrity people you can trust., • Be Direct With Respect - We communicate directly, even when it’s hard., • Members Before Metrics - We focus on building an exceptional experience for families., • High Intensity, High Impact - We do whatever it takes to get the job done. We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a highly experienced Senior Data Scientist with a strong background in manufacturing, quality, and process optimization analytics. This role will focus on analyzing complex manufacturing and sensor data to drive measurable improvements in cost, quality, yield, and waste reduction. • Analyze large-scale manufacturing data, including sensor, batch, recipe, and production line data, • Develop analytics solutions to identify defects, scrap, rework, and process deviations, • Perform root cause analysis and multivariate process analysis to uncover drivers of quality issues, • Build anomaly and defect detection models to proactively identify process failures, • Partner with manufacturing, quality, and operations teams to translate findings into actionable improvements, • Deliver measurable outcomes such as cost reduction, waste minimization, and quality improvement, • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in manufacturing, quality, or process optimization analytics, • Proven experience working with manufacturing process data and quality outcome data, • Demonstrated track record of delivering measurable business impact This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.