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Job Description About Halo Materials Halo Materials is a venture-backed advanced materials company pioneering novel technologies to produce domestic, cost-competitive graphite for advanced energy and manufacturing supply chains. Headquartered in New Mexico, home to world-class national laboratories and a fast-growing deep tech ecosystem, we are building a scalable, lower-emissions process to produce high-performance graphite critical to the batteries that power grid storage, EVs, AI datacenters, drones, and consumer electronics. Our leadership team brings decades of experience building and scaling hard tech companies across energy, mobility, and advanced materials, with backgrounds at Tesla, Cruise, Pajarito Powder, and DOE-funded startups, including multiple ventures that have been successfully acquired. The founders care deeply about building technology that strengthens energy systems and domestic manufacturing, while cultivating a high-functioning, supportive team culture. Backed by Roadrunner Venture Studios, Halo combines ambitious research and engineering with the operational support, capital access, and long-term vision needed to grow both the company and the people inside it. About the Role Halo Materials is seeking a Lead Scientist to work closely with the CTO to advance our technical priorities. This is a high-impact role ideal for someone who enjoys defining and executing upon a research plan, moves fluidly between modeling “what should be tested” and getting their hands dirty in the lab, and relishes the challenge of building an R&D-heavy company from the ground up. You’ll own the experimental roadmap of Halo Materials as we progress from lab-scale testing to commercial-scale reactor design and systems integration. This will entail designing and leading experiments, setting up and troubleshooting equipment, managing lab technicians, and data analysis to feed into future experiments. This is a hands-on technical leadership position for someone who thrives in deep tech environments and can move seamlessly between lab bench execution, team leadership, and high-level technical strategy. Key Responsibilities Lead installation, calibration, commissioning, and troubleshooting of core lab equipment to rapidly expand experimental capacity. Design and execute rigorous design-of-experiments (DOE) programs to optimize graphite growth parameters such as temperature, feedstock composition, residence time, and process conditions. Identify performance drivers, bottlenecks, and failure modes to continuously improve yield, purity, energy efficiency, and scalability. Build scalable systems for experimental data collection, storage, and analysis to ensure high-quality, decision-ready insights. Translate lab results into techno-economic inputs (e.g. cost per kg, energy intensity, throughput) to inform commercialization strategy. Develop and document SOPs for safe, repeatable, and scalable lab operations. Co-manage and mentor lab technicians to expand experimental capacity and execution speed. Train and develop junior technical hires, building a culture of rigor, ownership, and continuous improvement. Collaborate with external research partners to investigate underlying graphite growth mechanisms and unlock performance improvements. Work closely with peer R&D scientists and executive leadership to align technical milestones with company strategy and commercial objectives. Qualifications Ph.D. in Chemical Engineering, Materials Engineering, or closely related field 8+ years of experience in rigorous research and development environments such as university labs, deep tech startups, or corporate research teams. Proven ability to lead complex, multi-stakeholder projects—ideally involving lab environments, infrastructure, tech transfer, or industrial process scale-up. Strong organizational, strategic, and analytical skills; comfortable toggling between tactical execution and high-level planning. Excellent written and verbal communication skills across technical and non-technical audiences. Demonstrated success working closely with C-level leaders and managing competing priorities. Technical literacy in engineering, materials science, or chemical processes. Nice to Have: Experience in adjacent industries where similar high-temperature, catalytic, carbon, or materials growth processes are used — such as petrochemicals, advanced ceramics, specialty chemicals, battery materials, semiconductors, metallurgy, or industrial gas processing. Experience with government grants, compliance reporting, or lab buildouts. What We Look For (Beyond the Resume) A track record of execution — how you design experiments, make decisions with imperfect data, and drive results matters as much as where you’ve worked. Comfort operating in both research and production environments; experience in one or both is valuable, but your ability to move science toward application is what counts. Ownership mentality with high accountability and curiosity. Entrepreneurial speed balanced with technical discipline. Grit, resilience, and an ability to turn ambiguity into actionable next steps. Why Join Halo Materials? Strengthen Energy & Supply Chains - Work on advanced materials that directly impact batteries, energy systems, and U.S. manufacturing resilience. Scale Breakthrough Graphite Technology - Help scale a breakthrough graphite technology from lab experimentation to real commercial production. Rigorous Science, Startup Velocity - Join a mission-driven team that values rigorous science, fast execution, and taking care of its people. Technical Ownership & Autonomy - Take meaningful ownership in a technically ambitious environment where your contributions shape the direction of the company. Competitive pay, full benefits, and equity - Competitive compensation, strong benefits, and the opportunity to grow quickly inside a serious deep tech venture backed by experienced builders. Some of our Benefits: An independent role with a supportive and flexible work environment Time for self-development, research, training, conferences, or certification schemes Full range of competitive benefits including a health care stipend and equity in a fast-growing startup

Job Description COMPANY OVERVIEW: Certerra is a growing national provider of testing, inspection, and certification services that support innovation in new product development, quality assurance, for project delivery, and engineered solutions for asset management. We are passionate about contributing to the sustainable development of the communities we serve. We are a national firm with a global reach serving national and international clients from 30+ offices located in 10 states and are ranked on ENR’s Top 500 list alongside the nation’s top firms. With a 60-year history, Certerra has a passion for high-end services, constant innovation, and investment in the development of world-class laboratory facilities, and interactive management technologies. Each member of our staff is committed to service, innovation, and the success of our clients. Certerra is a consulting firm with over 65 years of quality service that offers professional services in the southwestern United States in the fields of geotechnical engineering, environmental engineering, construction materials engineering and testing, nondestructive testing, and welding inspection. Job Description: Certerra Southwest, a leading engineering consulting firm, has an excellent opportunity for an Environmental Scientist working into Project Management in our Albuquerque, NM office. The successful candidate will conduct a variety of field and office duties to support senior team leaders. Project assignments will take you to locations throughout the southwestern United States, but primarily in Arizona. This position requires a hard-working, safe, efficient and dedicated employee that is excited to receive training on the job and expand their current skill set. General responsibilities: (Include but are not limited to:) • Conduct field sampling and inspections for soil, groundwater, air, and building materials. • Conduct Phase I Environmental Site Assessments (ASTM E1527-21) including historical records review, site reconnaissance, and preparation of technical reports., • Perform Phase II environmental investigations including soil, groundwater, and soil vapor sampling under the direction of project managers., • Perform asbestos building inspections and bulk sampling in accordance with AHERA and state regulatory requirements., • Conduct lead-based paint inspections and risk assessments using XRF analyzers and paint chip sampling techniques., • Perform indoor air quality (IAQ) monitoring including collection of samples for VOCs, mold spores, particulate matter, and other indoor contaminants., • Document field activities through field notes, photographs, and site sketches., • Communicate with clients and contractors during field activities. Required Job Qualifications: • Environmental science, biology, chemistry, industrial hygiene or similar background., • 1-3 years of experience in environmental or industrial hygiene consulting., • Experience with environmental sampling techniques including soil, groundwater, air, and building materials., • Knowledge of federal and state environmental regulations (EPA, OSHA, ADEQ, etc.)., • Strong technical writing and data organization skills., • Certifications such as AHERA Building Inspector, AHERA Contractor/Supervisor, Lead Inspector/Risk Assessor, or 40-hour HAZWOPER are preferred., • A valid driver’s license with a clean driving record • Pass a pre-employment drug screen Physical Demands: • Physical examination required to obtain medical clearance to work, • Ability to stoop, kneel and to routinely lift and carry 50 pounds, • Ability to travel for field work and some overnight stays, • Able to work in variable outside conditions, including extreme heat or cold EOC Statement: We are an Equal Opportunity Employer. This Company is dedicated to both the letter and the spirit of the equal opportunity employment laws. All applicants and all employees will be evaluated on the basis of their ability, competence, and performance of the essential functions of their positions. There will be no discrimination on the basis of race, sex, national origin, religion, age 40 and over, disability, sexual orientation, marital status, or any other classification which may be protected by federal, state, or local laws. In compliance with the Americans with Disabilities Act, we specifically offer equal opportunity for all employees or job applicants who may have a physical or mental disability. Such persons will be hired on the basis of their ability to perform the essential functions of the job in question. Likewise, their work will be evaluated on their performance of these essential functions. We will offer reasonable accommodation to individuals with disabilities, to the extent that Company resources allow without undue hardship. As part of our equal employment policy, there will be no wage differentials based on gender, between men and women employed in the same establishment, on jobs that require equal skill, effort, and responsibility, and which are performed under similar working conditions

Job DescriptionDescription: Job Summary: The General Supervisor of the Toxicology Group ensures accurate and high-quality clinical laboratory results for clients in both immunology-based drug screening and mass spectroscopy methods within the framework of the Clinical Laboratory Improvement Amendments (42 CFR 493). Duties include supervision of testing personnel, review of technical data, maintenance of instruments and equipment, generation of quality assurance data and reports, adherence to safety policies and procedures, and working cooperatively within the organizational structure. This position reports administratively and in the CLIA accreditation structure to the Technical Supervisor of Toxicology. CLIA Responsibilities • Must be accessible to testing personnel at all times testing is performed to provide on-site, telephone or electronic consultation to resolve technical problems in accordance with policies and procedures established either by the laboratory director or technical supervisor., • Provide day-to-day supervision of high complexity test performance by testing personnel but must be onsite to provide direct supervision when high complexity testing is performed by any individuals holding a high school diploma., • Is responsible for monitoring test analyses and specimen examinations to ensure that acceptable levels of analytic performance are maintained., • The director or technical supervisor may delegate to the general supervisor the responsibility for:, • Assuring that all remedial actions are taken whenever test systems deviate from the laboratory's established performance specifications., • Ensuring that patient test results are not reported until all corrective actions have been taken and the test system is properly functioning., • Providing orientation to all testing personnel., • Annually evaluating and documenting the performance of all testing personnel., • May also perform the duties of testing personnel. Supervisory Responsibilities: • Ensure that staff are performing duties according to established SOPs and policies., • Document any disciplinary corrective actions in consultation with Human Resources and the Technical Supervisor of Toxicology., • Review staff attendance and timecards in the payroll system bi-weekly. Manage staff absences to ensure appropriate coverage for the expected workload., • Participate in staff hiring (interviews, job offers, on-boarding documents, etc.)., • Train staff in safety policies and procedures specific to their job duties and model safe practices., • Ensure that staff participate in company-wide training and encourage participation in job-specific continuing education programs. Document all training in staff records., • Generate and collect quality assurance data and documents for review by the Technical Supervisor of Toxicology, including logs, Levi-Jennings reports, case files, etc., • Initiate corrective actions when policies or procedures are not followed, or quality control data is outside established limits. Follow-up on corrective action taken and forward documentation to the Technical Supervisor for review., • Provide regular updates to the Technical Supervisor regarding all aspects of laboratory operations., • Participate in accreditation inspections both internal and external., • Work cooperatively within the organization structure to help meet corporate goals., • Participate and encourage staff advancement by training a replacement for your position. Required Skills / Abilities • Qualify as a CLIA General Supervisor for a high complexity laboratory in the specialty of Chemistry (42 CFR 493.1461)., • Experience in drug screening (immunology) and mass spectroscopy techniques specific to the identification of drugs of abuse with the ability to troubleshoot these methods., • Experience with basic maintenance of Agilent mass spectroscopy instruments and Indiko® analyzers., • Knowledge of CLIA regulatory and accreditation requirements and documentation., • Able to work in a highly accountable environment of professionalism, positivity, and respect., • Demonstrated potential to provide supervision and leadership for testing personnel., • Desire to learn the duties of a Certifying Scientist. Education & Experience • Bachelor’s degree or higher in a life science., • At least 2 years of experience in high complexity testing in the specialty of Chemistry., • Previous supervisory or leadership experience preferred., • Professional certification in clinical laboratory area (ex. ASCP) is preferred. Requirements:

Soils Scientist / $80k-$120k + INSANE BONUS STRUCTURE / Great Work Culture, Benefits, and MORE! This Jobot Job is hosted by: Kevin Finlay Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $80,000 - $120,000 per year A bit about us: We are a civil engineering consulting firm providing Civil Engineering, Land Surveying, Land Planning and Landscape Architecture services to clients. We have received several awards & recognition over the years and have exciting designs we have created for our clients. Projects/clients include design for Single Home and Multi-Family Residential Developments, Commercial, Industrial, Medical and Education properties. Services: • Civil Engineering, • Boundary & Topographical Surveys, • ALTA Surveys, • Subdivision Plans, • Roadway Construction Surveys, • FEMA, LOMA & LOMR Documentation & Filing, • Elevation Certificates, • Design Layouts, • Landscape Architectural Design Services, • Landscape Plans, • Decentralized Wastewater Designs – STEP Systems, • Advanced Wastewater Designs, • Transportation Engineering, • Hydrologic Determinations Why join us? We offer an excellent benefits package that has been designed to meet the needs of our diverse workforce. Our package provides employees a consistent, competitive level of benefits with the flexibility to support individual growth within the organization. • Competitive Base Salary + STRONG BONUS STRUCTURE; Lucrative bonus structure!, • Full Benefits (Medical, Dental, Vision); Generous PTO, Vacation, Sick, and Holidays!, • Opportunities for growth and advancement, • Awesome culture! Job Details The Soil Scientist conducts detailed site evaluations to support septic system design and land development projects. This role involves performing field investigations, excavating and examining test pits, classifying soils in accordance with state and local guidelines, and preparing accurate soil maps and reports. The Soil Scientist collaborates with civil engineers, environmental specialists, and regulatory agencies to ensure site designs meet environmental and public health standards. This position requires extensive fieldwork, technical expertise in soil morphology and classification, and a strong understanding of onsite wastewater treatment regulations. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

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

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 126 million 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 The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research, • For M.S. holders: 5+ years of industry experience in applied science or data science roles, • For Ph.D. holders: 4+ years of industry experience in applied science or data science roles, • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote #LI-NH1 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 salary 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 salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. 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, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Description Facet was founded in 2016 on the belief that objective, personalized financial advice is essential to living well. Our mission is to empower people to live more enriched lives by delivering a new standard of advice. By removing asset minimums, we provide holistic planning that goes far beyond investments to address every way money impacts life. To achieve this, we leverage a "human-plus-tech" approach, combining the expertise of CFP® professionals with cutting-edge AI and automation. This model allows Facet to integrate advice into our members’ entire financial picture—all for an affordable, flat membership fee. Our commitment to innovation and member success has earned national recognition, including being ranked the #1 Best Financial Advisory Firm 2025 by USA TODAY and named to Newsweek’s list of America’s Top Financial Advisory Firms 2025. With an A+ BBB Rating and a Trustpilot “Excellent” score (as of Sept. 16, 2025)*, we are proud to be redefining the industry for our members and our team alike. • Diverse Problems: We partner with every team at Facet on cross-departmental initiatives that directly improve the member experience and level up our workflows. Optimization, classical ML, NLP, and LLMs are all on the table. We pick the right tool for the job, not the most familiar one., • End-to-End Ownership: You own the data science workflow from problem framing through deployment: scoping, dataset construction, modeling, and delivery. You'll partner closely with engineering and product teams to bring your work into production., • Visible impact: Your work shapes decisions across the company. On a team this size, there's a short line between what you build and the value you deliver. As a Staff Data Scientist with a focus on both reporting and predictive modeling, your day-to-day responsibilities will include a mix of tasks related to data analysis, visualization, and predictive model development. Your core duties will consist of: • Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest., • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates’ code is free from errors, bias, and is easy to understand., • Data Engineering: We are a newer team at a growing company, and you’ll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure., • Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization., • Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications., • Continuous Improvement: Data Science is a quickly moving field and you’ll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others. Requirements • 7+ years of experience in a data science or machine learning role, • Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc…, • Proficiency with Python, • Proficiency with SQL, • Knowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and Optimization, • Proficiency with end-to-end pipelines, • Expert knowledge in model evaluation metrics, • Experience pulling data from various third party systems and APIs, • Proficiency with version control, • Proven ability to work both independently and as part of a team, • Proficiency with visualization in python, • Familiar with best practices in secure data handling and customer data privacy, • Proven record of converting business problems to data science solutions, • Prior experience in the financial planning industry, • Prior experience in the consumer technology industry, • Prior experience using containers to produce repeatable and shareable code, • Prior experience with Natural Language Processing, • Prior experience with cloud deployment, • Prior experience with Neural Networks and/or LLMs, • Prior experience with business optimization Benefits • Competitive Compensation: $180,000 - $220,000 base salary + bonus, • Ownership: Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company"., • Flexibility: Remote-first culture—work from anywhere in the U.S.., • Time Off: Flexible Paid Time Off (PTO)., • Comprehensive Benefits and Perks: Medical, dental, vision, 401(k) match, disability, paid parental leave, wellness reimbursement, and education reimbursement programs. *Facet was ranked #1 Best Financial Advisory Firm 2025 by USA TODAY in April 2025 who partnered with Statista to rank the top 500 RIAs. Recommendations were collected via an independent survey among over 30,000 individuals. self-recommendations were prohibited, and no compensation was provided for the ranking. Facet has been Accredited with the Better Business Bureau® since June 2025, and as of February 2026 holds an A+ BBB Rating. This Accreditation does not imply BBB approval or endorsement. Plant-A Insights Group and Newsweek partnered to identify America's Top Financial Advisory Firms 2025. This analysis was performed with data as of September 2024 and reviewed over 15,000 financial advisories registered with the SEC. These rankings prepared by Plant-A reflect editorial content and no compensation was provided by Facet in connection with America's Top Financial Advisory Firms 2025." As of February 25, 2026; Facet has a 4.8 star rating with TrustPilot.com. TrustPilot uses a formula for calculation that considers three factors: time span, frequency, and Bayesian average. After the calculation, a TrustScore is then visualized into a star rating from 1 to 5 stars, including half stars. Facet’s star rating is calculated from reviews from January of 2022 to present day. Daily star rating may fluctuate. Companies on Trustpilot aren't allowed to offer incentives or pay to hide reviews and Facet has not made any payments in offer or receipt of any reviews. _

VoteShield (a project of _) seeks a highly motivated and civic-minded Data Scientist to join our growing team. VoteShield supports election officials in maintaining complete and accurate voter data in order to protect free and fair elections for all qualified voters. As a member of this world-class analysis and engineering team, you will analyze public voter registration data, work with election administrators, support Protect Democracy on a variety of data projects, and grow your technical skills. This position is remote* based in the US. Ideal candidates will be critical thinkers with a command of data analysis techniques and the ability to distill findings into clear, accessible reports, presentations, and other data tools. We are seeking people who bring an interest in civic data, commitment to non-partisanship, and passion for defending and strengthening our democracy through free and fair elections. At Protect Democracy, we bring an integrated advocacy approach to solving issues facing U.S. democracy. As a part of our integrated advocacy approach, our data scientists conduct analyses that support our mission alongside legal and policy experts, organizers, and communications strategists. Together, we run novel data experiments that address a range of critical pro-democracy use cases, from enhancing the in our elections to and accountable, to informing and inspiring advocacy for proportional representation. We do not expect that any one candidate will have all of the experiences and requirements listed — our current data science team comes from a variety of professional backgrounds, including academia and the public and private sectors. We highly encourage you to apply if the job description gets you excited about the role and the work of Protect Democracy & VoteShield. As a data scientist, you will: Review and analyze changes in public voter registration data and absentee ballot data in order to provide election officials with timely insights and answers to data questions; Write and present data reports that are accessible to the team, partners, and election administrators; Conduct legal/policy research as needed to provide context for your reports; contribute to research that utilizes VoteShield’s unique datasets and skills to assess election administration policies; Partner with colleagues across Protect Democracy to enhance their work with data analyses, custom tools, automation, and more; Expand and enrich our current data with external datasets; Create, refine, and document your standards for reporting, and compare and collaborate to develop best practices for the team; Build and maintain relationships with current and prospective partners in the election community. The ideal candidate brings: Interest in public or civic data and commitment to data-driven and non-partisan analysis; Ability to communicate a clear story with data, both in writing and presenting, that describes the context, insights, conclusions, and open questions; Proficiency in Python; A relevant bachelors degree, or equivalent experience; Growth mindset and comfortability with an open and transparent culture that values feedback up, down and sideways; Excellent critical thinking skills, demonstrated by enthusiasm for investigating novel problems and exercising sound judgment about how to get to optimal solutions; Rigorous attention to detail and the highest standards for excellence in execution; Ability to track, prioritize, and, where necessary, triage work in order to use time in the most efficient and productive way; Comfort working with small teams, proactively working to build the organizational culture and figure out what’s needed to move your work forward. Pluses, but not required: Experience in social science research; Knowledge of public policy and/or political science; Experience with election administration or voting data. Compensation The starting salary range is $84,300-$92,000, commensurate with the candidate’s relevant experience, capabilities and skills and in alignment with internal equity. About Protect Democracy *Flexible location. We are a remote-first organization based exclusively in the United States, meaning our staff work within the US and primarily virtually. We also offer shared workspaces for those who enjoy working in an office environment. We are established for remote work in many states across the country, and while candidates based anywhere in the United States are welcome to apply, we may not be able to offer employment in your current location. If you proceed in the hiring process, we will discuss where you currently live and what is possible in our initial interview. All staff are also required to travel at least two times per year to team retreats, and this role may require periodic travel. Accommodations to this requirement will be made only in exceptional circumstances. Commitment to an inclusive workplace. Protect Democracy is an equal opportunity employer. We believe that a broad range of backgrounds, perspectives, and lived experiences strengthens our ability to analyze problems, craft solutions, and drive meaningful change. Protect Democracy encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, or veteran status. Phenomenal benefits. Our benefits package includes generous sick leave and a flexible vacation policy where we encourage team members to take 4-5 weeks every year, along with 12 paid holidays, 6 weeks of paid family medical leave, and 18 weeks of paid parental leave. We also offer a 401(k) plan with up to 6% employer match that vests immediately. Additionally, we cover employee medical premiums at 100% (with up to 95% coverage for dependents depending on plan selection), and employee and dependent’s dental/vision at 100%. All employees have access to long-term disability and life insurance, fertility benefits, a home office stipend, and bonuses at the discretion of the Executive Director. Ample opportunities for personal & professional development. Candidates who do not meet all listed criteria should still apply, as our organizational structure focuses on providing mentorship and opportunities for professional growth. Applications will be reviewed on a rolling basis and our hope is that new team members will join us as soon as possible (and no later than September 2026). Important notes Contact _ if you require specific accommodations at any point in the hiring process. Keep an eye on your promotions/spam folders to avoid missed communication. We are unable to provide status updates for each application we receive. If you reach out and do not hear back, please know it is not for lack of appreciation or interest, but simply for lack of staff capacity to respond to individual inquiries. The application will include a voluntary EEO survey so that we can monitor the applicant pool as a whole for representation and equal employment opportunities, and to evaluate our progress as an organization toward a diverse and inclusive workforce, which we believe is a pillar of a thriving democracy. The categories used by the EEO survey are limited and may not reflect your lived experience; please feel free to opt out of any of the questions. Your responses to this survey are entirely separate from your application materials, are not accessible to those responsible for hiring decisions, and will not affect your candidacy in any way. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement _. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or _. Report suspicious activity to recruiting@solace.health or advocate@solace.health.

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 _.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly! We are hiring a Data Scientist to help advance our AI system for clinical criteria evaluation. This role sits at the intersection of medical policy interpretation, data science, and applied ML/LLM evaluation. You will translate policy requirements into correct, testable code (SQL and Python), and you will build the measurement and quality systems that continuously improve an AI pipeline that extracts structured clinical signals from medical records. What You'll Do: • Translate medical policy into executable logic - Read and interpret medical policies and clinical criteria (e.g., lab thresholds, temporal windows, trend logic, exclusions)., • Convert requirements into correct, maintainable SQL and Python implementations (e.g., creatinine-based AKI rules, bilirubin thresholds, troponin dynamics, ABG-derived criteria)., • Design rule representations that are composable and auditable (clear inputs, outputs, assumptions, edge cases)., • Prompt engineering and system parameter tuning for AI configuration that extracts clinical information from medical records., • Build robust clinical feature pipelines, • Create and maintain pipelines that compute clinical features from extracted signals (labs, vitals, flowsheets, notes-derived facts)., • Handle tricky realities: missing timestamps, multiple measurement sources, unit normalization, deduplication, conflicting values, provenance tracking., • Own measurement, evaluation, and continuous quality improvement, • Define and instrument accuracy metrics for the AI system that extracts data from medical records, • Build gold datasets, sampling strategies, and review workflows with clinical/operations partners., • Perform error analysis, identify root causes (retrieval failures, OCR issues, extraction ambiguity, policy interpretation gaps), and drive improvements., • Establish engineering frameworks and tooling, • Create reusable tooling for policy-to-code translation: templates, test harnesses, validation suites, regression checks, and monitoring dashboards., • Improve infrastructure for large-scale runs: orchestration, logging, lineage, versioning, and reproducibility., • Implement guardrails and QA gates so policy logic changes are safe, traceable, and measurable., • Partner deeply with domain experts, • Work with clinicians, policy specialists, and operations to clarify ambiguous requirements and ensure implementations reflect real-world intent., • Produce clear documentation that explains what the code is doing and why, with examples and edge-case handling. What You'll Bring: • Strong SQL and Python engineering skills - Ability to translate nuanced requirements into correct SQL (CTEs, window functions, joins at scale, performance tuning) and production-quality Python. - Experience building testable pipelines, not just ad hoc analysis., • Experience operationalizing rules + models - Track record of implementing complex business/clinical logic and deploying it reliably. - Comfort working with imperfect, messy, high-volume datasets., • Evaluation/Metric mindset - Experience designing metrics, building ground truth, running experiments, and improving system quality through structured iteration. - Ability to connect technical quality measures to business outcomes (e.g., accuracy vs reviewer burden vs downstream decisions)., • Systems thinking and rigor - You build frameworks that make other engineers/scientists faster: shared libraries, patterns, tooling, and clear interfaces., • You sweat details: edge cases, provenance, temporal logic, unit conversions, and regression safety., • Healthcare curiosity (and willingness to learn fast) - Interest in medical records, clinical data, and how policies translate into decision criteria. - Prior healthcare experience is a plus, but not required if you bring the aptitude and motivation. Nice to Have Experience with clinical data standards or lab data normalization (LOINC familiarity, units conversion, reference ranges). - Experience evaluating LLM/IE systems (information extraction) or building human-in-the-loop QA workflows. - Familiarity with distributed data systems (Spark, BigQuery/Snowflake, Databricks) and workflow orchestrators. Why This Role If you enjoy turning ambiguous real-world policies into precise code, building quality systems that make AI reliable, and operating at the boundary of clinical domain nuance and production engineering, this role is designed for you. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: _

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.

About us: Nomic was founded with a simple but ambitious goal: to make biology easier to measure. We’ve developed nELISA, the world’s highest throughput proteomic platform, by tackling some of the toughest challenges in protein profiling through a combination of DNA nanotechnology, high-dimensional flow cytometry, lab automation, and machine learning. Since spinning out of McGill University, we’ve partnered with dozens of top-tier drug discovery groups, including 6 of the top 10 pharma companies, and have profiled over 60 million proteins from more than 400,000 samples to date. Since closing a $42M Series B round, we recently scaled up the platform to meet rapidly growing demand. You can read more about this on our _. Our state-of-the-art facility is capable of profiling over 2.5 million samples a year, generating 500 million protein assays. We’re a diverse team of engineers, scientists, and problem-solvers who thrive on breaking down difficult challenges using first principles thinking, and we leverage the latest scientific and technological breakthroughs to drive our mission forward. About the role: The Data team at Nomic is responsible for designing, building, operating and improving the data pipelines, data infrastructure, and data tools needed for analyzing nELISA data at scale. Our development roadmap includes building more robust data pipelines for decoding nELISA datasets, and developing improved internal-facing tools that will let our scientists execute faster in the lab by extracting insights from our nELISA profiling and manufacturing QC data on-demand. As a senior IC on the team, you will sit at the intersection of our in-lab technology development efforts, our efforts to improve our data processing algorithms and infrastructure, and our work to develop internal tools for our scientists to more automatically visualize and analyze datasets themselves. As a jack of all trades when it comes to analyzing data and building tools for others to do the same, your day to day responsibilities will include: Designing, building, iteratively improving, and fully automating the data pipelines and algorithms we use for processing raw flow cytometry data from our highly multiplexed bead-based assays into quantitative protein measurements. This will be done in close collaboration with your Data Engineering, Software Engineering, and Lab R&D teammates. You will leverage your fundamental knowledge of biosensors, fluorescence data, and bioengineering R&D to act as an expert for the interpretation, and analysis of, nELISA experimental data when challenges arise in R&D and day-to-day Lab Operations, connecting the fundamentals of the science to the specific features or anomalies of the data. You will also support R&D and Lab Operations teams through developing additional data support features and algorithms to support the growth of Nomic going forward. This will include any new data analysis pipelines to analyze nELISA data, including QC data from our daily manufacturing and profiling operations. This role will involve substantial communication, teamwork, and attention to detail, especially when identifying and troubleshooting issues related to nELISA data and ensuring we build the right tools, and the right abstractions. When tooling does not yet exist, you will leveraging your technical and bioscience domain expertise to develop new data analysis pipelines. What we’re looking for: Graduate Degree - or equivalent experience in industry - in bioengineering or a related quantitative field of study in the biosciences, with a focus on biosensors, quantitative fluorescence data, or similar. 3+ years of experience specifically with analyzing bioscience data and developing improved data processing algorithms. 2+ years software engineering/development experience - you must be comfortable standing up new toolsets for non-programming users, and coding in a collaborative environment together with experienced data and software engineers. Statistical skills including bayesian statistics, sampling methods, mixed models, and experience applying other statistical concepts. Strong past experience working collaboratively on data science problems with wet lab scientists, ideally in a startup or equivalent fast paced environment. Nice to Have: Understanding of the fundamentals of life science tools, technologies and lab methods. In particular you would be an expert on multiple of: immunoassays, nucleic acid amplification, DNA nanoarchitecture and design, separation-based techniques for biological samples and compounds, biophysics / fluorescence, and signal processing. Nice to Have: First hand experience optimizing (alone or in a team): surface chemistry (passivation, functionalization, regeneration), DNA-based circuits and DNA biosensor designs, fluorophores/fluorescence and FRET, antibody-antigen interactions and ligand binding, or similar domains. Excellent communication skills (written, verbal, and in a codebase) and an independent problem solver. Fluency in English is required as our customers and vendors are primarily located in the USA. In addition, this position will interact with our team members within our USA entity. Join us if you: Connect deeply with our mission, ambition and sense of duty. Our mission isn’t marketing flash: we developed our technology to better measure biology and discover biomarkers for early disease detection. We firmly believe we will be successful in literally eradicating certain diseases by enabling them to be diagnosed earlier. We also believe that our hard work to bring this technology to its full potential is our duty. Are up for a challenge and want to grow: We are a team of problem-solvers, and we continually put ourselves to the test and go into the unknown. We have a growth mindset, both on hard and soft skills, and we rely on each other to give critical and candid feedback to ensure that we can all reach our full potential. Want to be at the cutting-edge of biotechnology. The nELISA is a new tool that leverages DNA nanotechnology to generate proteomic data more efficiently than ever before. You get to design and build the data pipelines and analysis tools that will support the scaling of this technology going forward. Love writing code and analyzing biological data, and want to be responsible for driving improvements to data pipelines from a full-stack perspective. Prefer working and communicating within a diverse cross-functional team. You would get to interface with your teammates from the broader Engineering, Operations, and Commercial teams on a daily basis, joining a collaborative, diverse, and inclusive team where your ideas will be valued. Want the responsibility of addressing some of our hardest problems. Data is one of our core competencies, and researching and developing improvements to the way we analyze data has a compounding benefit on all other aspects of our company and our customers, most notably the scientists using the nELISA and patients that will ultimately benefit from nELISA data. If you are passionate about analyzing data and building better data pipelines for biology, want to drive innovation in proteomics, and are eager to make a meaningful impact in the world, we invite you to apply and join us on our journey to redefine proteomics and the understanding of biology. À propos de nous: Nomic a été fondée avec un objectif simple mais ambitieux : rendre la biologie plus facile à mesurer. Nous avons développé nELISA, la plateforme protéomique la plus performante au monde, en relevant certains des défis les plus complexes du profilage des protéines grâce à une combinaison de nanotechnologie ADN, de cytométrie en flux haute dimension, d'automatisation de laboratoire et d'apprentissage automatique. Depuis notre spin-off de l’Université McGill, nous avons collaboré avec des dizaines de groupes de découverte de médicaments de premier plan, dont 6 des 10 plus grandes sociétés pharmaceutiques, et avons profilé plus de 60 millions de protéines à partir de plus de 400 000 échantillons à ce jour. Depuis la clôture d’un tour de financement de Série B de 42 M$, nous avons récemment étendu la plateforme pour répondre à une demande en forte croissance. Vous pouvez en lire davantage sur notre site web. Notre installation ultramoderne est capable de profiler plus de 2,5 millions d’échantillons par an, générant 500 millions d’analyses protéiques. Nous sommes une équipe diversifiée d’ingénieurs, de scientifiques et de résolveurs de problèmes qui prospèrent en décomposant des défis complexes grâce à une réflexion fondée sur les premiers principes, et nous tirons parti des dernières avancées scientifiques et technologiques pour faire progresser notre mission. À propos du poste: L’équipe Data de Nomic est responsable de concevoir, construire, exploiter et améliorer les pipelines de données, l’infrastructure de données et les outils de données nécessaires à l’analyse des données nELISA à grande échelle. Notre feuille de route de développement comprend la création de pipelines de données plus robustes pour décoder les ensembles de données nELISA et le développement d’outils internes améliorés permettant à nos scientifiques de travailler plus rapidement au laboratoire en extrayant à la demande des informations issues de nos données de profilage nELISA et de contrôle qualité de fabrication. En tant que contributeur senior au sein de l’équipe, vous serez à l’intersection de nos efforts de développement technologique en laboratoire, de nos travaux visant à améliorer nos algorithmes et infrastructures de traitement des données, et de notre travail d’analyse manuelle de jeux de données expérimentaux complexes dans le cadre du développement d’outils internes permettant à nos scientifiques de visualiser et d’analyser eux-mêmes les jeux de données de manière plus automatique. En tant que généraliste de l’analyse de données et de la création d’outils destinés aux autres, vos responsabilités quotidiennes comprendront : Concevoir, construire, améliorer de manière itérative et automatiser entièrement les pipelines de données et les algorithmes que nous utilisons pour traiter les données brutes de cytométrie en flux provenant de nos essais multiplexés à billes en mesures protéiques quantitatives. Ce travail se fera en étroite collaboration avec vos collègues en Data Engineering, Software Engineering et R&D en laboratoire. Mettre à profit vos connaissances fondamentales en biosenseurs, données de fluorescence et R&D en bio-ingénierie pour jouer un rôle d’expert dans l’interprétation et l’analyse des données expérimentales nELISA provenant de la R&D et des opérations quotidiennes du laboratoire, en reliant les principes fondamentaux de la science aux caractéristiques ou anomalies spécifiques des données. Soutenir les équipes R&D et Opérations Laboratoire en développant des fonctionnalités et des algorithmes supplémentaires de support aux données afin d’accompagner la croissance de Nomic. Cela inclura la création de nouveaux pipelines d’analyse pour les données nELISA, y compris les données de contrôle qualité issues de nos opérations quotidiennes de fabrication et de profilage. Communiquer de façon intensive, travailler en équipe et prêter une grande attention aux détails, notamment lorsqu’il s’agit d’identifier et de résoudre des problèmes liés aux données nELISA et de s’assurer que nous construisons les bons outils et abstractions adaptés. Lorsque les outils n’existent pas encore, analyser les données nELISA en utilisant notre suite d’outils de décodage et d’analyse, ainsi que développer de nouveaux pipelines d’analyse lorsque nécessaire grâce à votre expertise technique et scientifique. Fournir un soutien aux équipes R&D et Opérations sur la conception et l’analyse expérimentales lorsque cela est requis, en s’appuyant sur votre expérience passée dans ce domaine. Ce que nous recherchons : Diplôme de troisième cycle - ou expérience équivalente en industrie - en bio-ingénierie ou dans un domaine quantitatif connexe des biosciences, avec une spécialisation en biocapteurs, données de fluorescence quantitatives, ou domaine similaire. 3+ années d'expérience spécifiquement dans l'analyse de données bioscientifiques et le développement d'algorithmes améliorés de traitement de données. 2+ années d'expérience en ingénierie/développement logiciel - vous devez être à l'aise pour mettre en place de nouveaux outils pour des utilisateurs non programmeurs, et coder dans un environnement collaboratif avec des ingénieurs expérimentés en données et en logiciels. Compétences statistiques incluant les statistiques bayésiennes, les méthodes d’échantillonnage, les modèles mixtes, et l’application d’autres concepts statistiques. Solide expérience passée de travail collaboratif sur des problématiques de science des données avec des scientifiques de laboratoire humide, idéalement dans une startup ou un environnement équivalent à rythme rapide. Atout : Compréhension des fondamentaux des outils de sciences de la vie, des technologies et des méthodes de laboratoire. En particulier, vous seriez expert de plusieurs des domaines suivants : immunoessais, amplification des acides nucléiques, nanoarchitecture et conception de l'ADN, techniques de séparation pour les échantillons et composés biologiques, biophysique / fluorescence et traitement du signal. Atout : Expérience directe d'optimisation (seul ou en équipe) de : chimie de surface (passivation, fonctionnalisation, régénération), circuits à base d’ADN et conceptions de biocapteurs ADN, fluorophores/fluorescence et FRET, interactions anticorps-antigène et liaison de ligands, ou domaines similaires. Excellentes compétences en communication (écrite, orale et dans une base de code) et capacité à résoudre des problèmes de manière autonome. La maîtrise de l'anglais est requise car nos clients et fournisseurs sont principalement situés aux États-Unis. De plus, ce poste interagira avec les membres de notre équipe au sein de notre entité américaine. Joignez-vous à notre équipe si: Partagez profondément notre mission, notre ambition et notre sens du devoir. Notre mission n’est pas un slogan marketing : nous avons développé notre technologie pour mieux mesurer la biologie et découvrir des biomarqueurs pour la détection précoce des maladies. Nous croyons fermement pouvoir éradiquer certaines maladies en permettant leur diagnostic précoce. Nous croyons également que c’est notre devoir de travailler dur pour exploiter tout le potentiel de cette technologie. Êtes prêt à relever des défis et à progresser : nous sommes une équipe de résolveurs de problèmes qui se met constamment à l’épreuve et s’aventure dans l’inconnu. Nous avons un état d’esprit de croissance, tant sur les compétences techniques que comportementales, et nous comptons les uns sur les autres pour fournir des retours critiques et sincères permettant à chacun d’atteindre son plein potentiel. Voulez travailler à la pointe de la biotechnologie. Le nELISA est un nouvel outil utilisant la nanotechnologie ADN pour générer des données protéomiques de façon plus efficace que jamais. Vous participerez à la conception et au développement des pipelines de données et des outils d’analyse qui accompagneront la montée en puissance de cette technologie. Aimez coder et analyser des données biologiques, et souhaitez être responsable de l’amélioration des pipelines de données avec une approche full-stack. Préférez travailler et communiquer au sein d’une équipe interdisciplinaire et diversifiée. Vous collaborerez quotidiennement avec vos collègues des équipes Engineering, Operations et Commerciales, en rejoignant une équipe collaborative, diversifiée et inclusive où vos idées seront valorisées. Voulez avoir la responsabilité de résoudre certains de nos problèmes les plus complexes. La donnée est l’une de nos compétences clés, et la recherche et le développement d’améliorations de nos méthodes d’analyse ont un effet multiplicateur sur tous les autres aspects de notre entreprise et de nos clients, en particulier les scientifiques utilisant le nELISA et les patients qui bénéficieront in fine des données nELISA. Si vous êtes passionné par le développement d’algorithmes et de pipelines de données en biologie, si vous souhaitez faire progresser l’innovation en protéomique et avez à cœur de faire une réelle différence dans le monde, nous vous invitons à postuler et à nous rejoindre dans notre mission de redéfinir la protéomique et la compréhension de la biologie.

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing high-quality data for model training; Design auto labeling system using ensemble of models that can reason from multimodal data for different use-cases, including image semantic labeling using vision grounded models, intent and path prediction ground truth; Perform complex data extraction, transformation, and loading (ETL) processes, ensuring data is clean, accessible, and well-documented; Write and optimize high quality SQL queries for data analysis and ingestion from various sources; Partner with data infrastructure and ML engineers to ensure seamless integration of data and machine learning workflows; and Produce highquality, maintainable code and participate in peer code reviews to share knowledge and uphold team standards. Position allows 100% telecommuting from anywhere in the U.S. Salary: $194,834 - $218,284 per year. MINIMUM REQUIREMENTS: Bachelor’s Degree or U.S. equivalent in Computer Science, Data Science, or a related field, 5 years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or any occupation, job title, or position performing software engineering and machine learning. Must also have the following special skills: 5 years of professional experience utilizing SQL to write and optimize complex queries for extraction, analysis, and ingestion of structured, semi-structured, and unstructured data; 5 years of professional experience utilizing machine-learning frameworks (including TensorFlow and PyTorch) 5 years of professional experience designing and developing data and feature extraction pipelines, including pipelines for multi-modal data (including images, point clouds, or time-series) 5 years of professional experience training and prototyping machine-learning models using data-centric techniques including automated feature engineering, active learning, and fine-tuning; 5 years of professional experience utilizing cloud platforms including AWS, GCP, or Azure 5 years of professional experience utilizing containerization and workflow tools including Docker, Kubernetes, or Airflow 5 years of professional experience collaborating with cross-functional engineering teams to integrate data pipelines and ML workflows 3 years of professional experience programming in Python, building scalable data pipelines, or implementing ETL workflows 1 year of professional experience working with relational databases and SQL (including Postgres, Redshift, or SQL Server). CONTACT: Please send resume to hr@serverobotics.com Must specify Ad Code SDSB in the subject line.

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.

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

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we’re just getting started. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We’re excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023.The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia. Before you apply Eight Sleep is an intense environment: we’re demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rivals those of Olympic athletes. At Eight Sleep, we have Kobe Bryant’s mamba mentality - we always aim to be at the best 1% of what we do. If you’re looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply. The role We’re seeking a data-driven and detail-oriented Data Analyst (an individual contributor) to join our Data & Analytics team within the Growth organization. The ideal candidate has a proven track record delivering insights that influence the product and marketing roadmaps. This role will use sales, marketing and ecommerce data to build reporting, dashboards and KPIs while extracting findings from complex analyses. How you’ll contribute Analyze marketing and ecommerce data sets to identify trends and unique insights that optimize the Performance Marketing and Web programs Design and analyze lift-based/incrementality experiments across Performance Marketing channels (Facebook, Search, YouTube, OTT, etc.) Create and maintain dashboards and visualizations using Looker and other tools to provide key insights to the Growth team Build statistical models that produce revenue projections and ad spend allocation Assist in managing our data warehouse; building and maintaining data pipelines, data models and automating workflows Utilize data to deepen Eight Sleep’s understanding of user acquisition and improve performance at the portfolio and channel level Act as a key driver in building and improving Eight Sleep’s marketing attribution modeling What you need to succeed Minimum 3+ years experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role B.S. degree in Business, Finance, Mathematics, Statistics, Economics, or other quantitative field preferred Expert-level knowledge of SQL, experience using Python or R is a plus Advanced knowledge of end-to-end data infrastructure, including using data pipeline tools, data transformation tools such as DBT and data warehousing best practices Expert knowledge of business intelligence tools such as Looker, Tableau, and Google Sheets/Excel A data-driven approach to performance marketing and experience utilizing large data sets to inform strategic decision making Highly effective written and verbal communication skills Ability to translate complex findings into actionable insights Be an Independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own _, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location We will hire for this role in US/EU/LATAM, but working hours will be EST. Note: Employees approved for remote work must perform their duties from a single, company-approved based location #LI-Remote At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

This is a forward-deployed engineering role. You'll work shoulder-to-shoulder with mission heroes — the users, operators, and program engineers who run real workloads in real DoD environments — and you'll be the person who takes UDS Data Capability from "deployable" to "running in production under classification." You will deploy, harden, integrate, and operate our data stack in the mission hero's environment, then carry what you learn back into the product so the next engagement is easier. Forward-deployed means aligned with the mission hero, not always on a plane. Most of the work is remote. You'll travel to sites when the engagement genuinely calls for it — initial standup, in-SCIF integration work, on-the-ground incident response, training and knowledge transfer — and you'll be on a video call or in a shared chat with that same mission hero the rest of the time. The job is being their engineer, not living at their desk. You are a data engineer, a data scientist, and a general solutioner. You can take responsibility for the full breadth of a data platform — storage, ingestion, streaming, governance, access, and the Kubernetes machinery underneath all of it — make it work where it has to work, analyze what's running through it, and solve problems in real time for the mission hero. About 20% of your time, you'll also be what makes Defense Unicorns' forward-deployed team itself better — pairing with junior Data Engineer FDEs on hard problems, helping them develop the technical judgment that only comes from doing hard things, and raising the ceiling on what the team can take on. • Deploy and harden UDS Data Capability in the mission hero's environment — stand up the UDS Store (Iceberg, Rook/Ceph, pgvector, Postgres), wire up UDS Transit for air-gap data movement, configure UDS Govern policies (Pepr/Lula), and integrate UDS Connect (Strimzi/Kafka) where streaming or legacy connectors are required., • Own the integration with what they already have — connect UDS Data Capability to whatever's already running: Big Bang, legacy Oracle and SQL Server, flat-file drops, SOAP/REST endpoints, message buses, existing object storage, identity providers (Keycloak, mission-side SSO)., • Build pipelines that move data through classification boundaries — ingestion, transformation, catalog registration, model/dataset packaging via Zarf, cross-domain transit, eventual consistency across DDIL conditions., • Operate what you deploy — initial day-2 ownership: capacity, performance, backup/restore (Velero), observability (Vector/Loki), incident response, upgrade paths. Hand off to the mission hero's ops team once it's stable., • Generate accreditation artifacts — STIG evidence, cATO documentation, FIPS validation notes, policy mappings. You produce the evidence the mission hero's ISSM/ISSO needs to actually run this in IL4/IL5., • Be the voice of the mission hero back to product and engineering — file the issues, write the postmortems, propose the operator improvements, push the platform team on what's actually breaking in the field. Your field experience is the highest-signal input we have., • Train and transfer — leave the mission hero's team self-sufficient: runbooks, architecture docs, working sessions, knowledge transfer., • Grow junior Data Engineer FDEs — pair on hard problems, review integration designs before they reach the customer, and help junior engineers build judgment faster than they would alone. You're not managing anyone; you're making the team better. Travel Expectations: 10%-25% Data engineering breadth • Lakehouse & storage — production experience with Apache Iceberg (or Delta/Hudi), object storage (Ceph/S3-compatible), Postgres (including extensions like pgvector), and at least one columnar/OLAP engine (Trino, DuckDB, ClickHouse, Spark SQL)., • Streaming & integration — Kafka (preferably Strimzi on Kubernetes), Flink or equivalent stream processing, CDC patterns (Debezium), and the ability to bridge legacy systems (Oracle, SQL Server, flat files, SOAP) into modern pipelines., • Pipelines & orchestration — Airflow, Dagster, Argo Workflows, or similar; comfort building, scheduling, monitoring, and recovering production data pipelines., • Governance, catalog & access — REST catalogs (Iceberg REST, Polaris/Gravitino/Nessie family), ABAC/RBAC patterns, OIDC/OAuth, lineage and audit., • Data modeling & SQL — fluent in SQL; comfortable designing schemas for both analytical and operational workloads. You do not need to be the deepest expert in any single one of these. You do need to be credible across all of them and know which one to reach for. Platform & infrastructure • Kubernetes in production — deployments, operators, CRDs, storage classes, networking. You don't have to write controllers from scratch, but you can read and debug them., • Linux fundamentals, container runtime behavior, networking, TLS, secrets management., • IaC (Terraform, Pulumi, or similar) and GitOps patterns (Flux, ArgoCD)., • Familiarity with the CNCF ecosystem — what's a foundation project, what's a single-vendor project, why it matters. What "forward-deployed" requires • Active DoD security clearance required — TS/SCI preferred; minimum active Secret with the ability to obtain TS/SCI., • Comfort being the technical face of Defense Unicorns to a mission hero — listening before prescribing, writing clearly, briefing technical and non-technical stakeholders, and saying "I don't know yet, let me find out" without losing the room., • Comfort with on-site work when the engagement calls for it — in SCIFs and other restricted spaces, sometimes for days or weeks — and equal comfort doing the rest of the work remotely without losing the relationship., • Bias toward delivery. You'd rather ship a working integration with rough edges than a perfect design that hasn't met a real workload., • Self-direction. The mission hero's environment will surprise you, and the answer often isn't in the documentation yet — you'll write it., • The maturity to mentor without hovering. Junior engineers grow by doing Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. Remote - USA $123,250 - $166,750 USD Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. • Kubernetes, • Cloud Environments (AWS/GCP and Azure), • Infrastructure-as-code (like Terraform/Pulumi), • Continuous Delivery and automation tooling, • GitOps, • Containers, • CNCF projects and open source products and packages, • Helm/Kustomize-Value Stream Mapping, • Building and improving security delivery, • Building Kubernetes and cloud native applications Health: • Medical/Dental/Vision, • Premiums are 100% Company Paid, • Health Savings Account, • Life Insurance, • Disability Insurance Financial: • 401k Retirement Plan, • Company Stock Options, • Home Office Budget Leave: • We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s, • Paid Parental Leave Learning: • Reimbursement for approved trainings/subscriptions, • Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. _

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure), • Experience with automated supervision/surveillance/compliance tools $135,000 - $175,000 a yearThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process. The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Senior Data Scientist - VLM (LATAM) Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract. Responsibilities: • Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings., • Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs., • Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data., • Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently., • Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance., • Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL)., • Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment., • Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement. Requirements: • A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred., • 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning., • Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face., • Proficiency in Python, including libraries like pandas, numpy, and scikit-learn., • Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation., • Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment., • Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB)., • Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning., • Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus. #LI-Remote Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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.

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: _

At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results unbounded by geography. Braviant is offering a fully remote option for anyone in the U.S. who wants to join our team and help us grow. We also have an office space in the heart of downtown Chicago for those who prefer to get out of the house and collaborate with some colleagues in person. Who we are:Braviant is a leading provider of tech-enabled credit products that combines breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime to help millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work by Crain’s Chicago, BuiltIn Chicago and American Banker. We are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth. This role is Addison, TX-based with a 4-day in-office requirement and 1-day work from home. • Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance., • Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules., • Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions., • Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance., • Distinguish fraud risk vs credit risk, improving early default performance and reducing losses., • Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement., • Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution., • Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes., • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite., • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field, • 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space., • Advanced proficiency in Python for programming, data analysis, and predictive modeling, • Proficiency in SQL, Excel and experience with data visualization tools, • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models, • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping, • Passion for keeping your skills up to date and exploring new methodologies, • The ability to distill complex problems and analysis into a clear and concise narrative Preferred • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment., • Hands-on experience applying AI to credit risk management Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: • Comprehensive healthcare including medical, dental, and vision coverage, • Generous paid time off, including PTO, sick time, and 13 company holidays, • 401(k) with company contribution, • Participation in annual discretionary bonus plan, • Regular team and company gatherings What it's like to work here:We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on , and our _ 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.

We are seeking a Data Scientist to join their team. Our client, a trusted government contractor, is searching for a dedicated Data Scientist to support a high-impact U.S. Government project. This full-time role will provide technical expertise essential for maintaining mission-critical software and systems, contributing directly to the client's key objectives. Must Have's: • An active or reinstatable TS/SCI with Polygraph security clearance., • U.S. citizenship., • Strong software development skills., • Ability to work independently and collaboratively within a team., • Strong communication skills., • Experience in adversary defeat, mission management, metrics, and data visualization., • Proficiency in data compilation from multiple sources using computer scripting, statistical analysis, and data modeling., • Knowledge of large networks, telecom systems, and expertise in applying data science to interpret complex data sets. Location: Annapolis Junction, MD Salary: $50,000 to $120,000 Benefits: • Comprehensive CareFirst Medical, Dental, and Vision Coverage for employees and dependents., • Up to 25 days of Paid Time Off (PTO), with 40 hours carryover., • 11 Federal Holidays., • Flexible work-from-home options., • 401K with company contribution, fully vested from day one., • Opportunities for discretionary, certification, and sign-on bonuses., • Employee referral bonus program., • Annual professional development funding., • Fully covered life and disability insurance, with voluntary additional life insurance options., • Employee Assistance and Travel Protection Programs., • Financial planning assistance, bereavement, and jury duty leave., • Monthly team and family events, technology budget, Global Entry, and an annual swag budget. Mission Box Technologies is an Equal Opportunity Employer. We value the benefits of diversity in our workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity and expression, national origin, disability, protected Veteran status, or any other attribute or protected characteristic by law. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for potential access to classified information. Accordingly, US Citizenship is required. Our strategic partner is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract of employment and are subject to change at the discretion of our strategic partner.

Role: Data Scientist – Machine Learning Focus (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev Technologies Inc _ Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment. If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Job Description • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems., • Strong foundation in Python programming in a cloud environment., • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills, • Expertise in data wrangling using SQL,, • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes, • Fluency in querying/extracting/aggregating data via SQL scripting., • Extract, load and transform data (ETL) from structured and unstructured sources, • Apply Natural Language Processing and Computer Vision to solve business use cases,, • Strong skills in scientific data analyses, modeling, visualization and communication of results., • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others), • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization), • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM), • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.), • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.), • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras, • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest, • Distributed computing tools and cloud technology (AWS) Benefits Competitive Salary Paid Relocation Remote Support Guaranteed Regular Salary Reviews Job Type: W2 or Contract 1099 (full-time - 40 hours). 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

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.

About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit . All roles supporting are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: _, one of the most recognized brands in cryptocurrency, is looking for a Senior Growth Data Scientist to join our Data organization as a dedicated partner to the Marketing team. You'll sit within Data — with the rigor, tooling, and standards that come with it — while working day-to-day alongside performance, lifecycle, brand, and growth teams to shape and measure marketing strategy. This is a high-ownership individual-contributor role for someone who wants to build the analytical foundation a fast-growing marketing org needs, and to influence where and how we invest. As the function matures, there's a clear path for this role to grow a team underneath it. Core Responsibilities: Serve as the embedded data science partner to Marketing, bringing rigorous, data-driven decision-making to a team that today lacks dedicated analytical support. Stand up and own the marketing measurement foundation — event tracking architecture, unified attribution windows, and KPI frameworks across mobile (MMP) and web (GA) — so channels can be compared apples-to-apples. Build and maintain the core models that drive spend decisions: LTV, ROAS, CAC/payback, and retention; translate them into channel strategy and budget allocation recommendations. Design, run, and read out experiments and A/B tests across acquisition and the customer lifecycle, and set the experimentation standard for the marketing org. Analyze the full funnel (acquisition → activation → engagement → retention → monetization), surface the highest-impact growth opportunities, and size them. Build forecasting and opportunity-sizing models to inform planning and resource allocation. Develop self-serve dashboards and recurring reporting that give Marketing and leadership clear visibility into performance. Partner with Data Engineering and MMP/ad-platform teams to ensure data quality and measurement accuracy, and prioritize fixes. Translate analysis into clear, persuasive recommendations, and influence marketing investment decisions with stakeholders up to leadership. Preferred Skills/Experience: 5 years in marketing/growth analytics or data science, ideally at a consumer-facing tech, fintech, or startup, with a track record of driving measurable growth. Advanced SQL and comfort working with large-scale data in modern warehouse environments. Proficiency in Python or R for analysis and modeling. Strong grounding in marketing attribution, experimentation and statistics, funnel analysis, retention, ARPU, and LTV. Hands-on experience with mobile measurement platforms (AppsFlyer preferred): SDK/event setup and attribution modeling. Proficiency with BI/visualization tools (Tableau, Looker, or similar). Excellent communication and the ability to influence non-technical stakeholders — especially important since Marketing will look to this person for direction. A self-starter comfortable building from scratch in an ambiguous, fast-moving environment. Nice to have Crypto, fintech, or financial services experience. ML applied to marketing (propensity, churn, LTV prediction, audience segmentation). Experience building audience segments and activating warehouse data into ad platforms. Bachelor's in a quantitative field; Master's a plus. The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,00 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. Our Mission: At _, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: Act with Integrity: We do what’s right, even when no one is watching. Be Collaborative: We work together with respect and transparency to achieve shared goals. Customers First: We listen to, advocate for, and prioritize our users in every decision we make. Do the Work: We take ownership, follow through, and deliver results that move the mission forward. Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available _. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

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!

We’re building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. We’re a U.S.-based tech company with a high bar for talent, ownership, and execution, and we’re intentional about building a strong, globally distributed team from the start. Problem: Our Head of Engineering is most focused on building and is looking for ongoing guidance on structuring and scaling their engineering team. We are looking for a fractional advisor for approximately 10-15 hours a week. Specifically, you'll: Co-own the interview process for our key engineering hires, including: DevOps Engineer (priority) Data Scientist (priority) Windows & Mac engineers Full-stack web engineers Design the technical portion of the interview process yourself, and either run the interviews or bring in trusted specialists to help us assess skills Advise our Head of Engineering on org design and team scaling strategies Beyond hiring, serve as a technical sounding board for our Head of Engineering ‍ You MUST have: Been a CTO for other early and growth-stage VC-backed tech startups Scaled engineering teams from roughly zero to 50+ engineers within the last few years A technical skillset that can confidently evaluate candidates across a range of roles from AI, DevOps, Data Science, Full-Stack, etc. Built engineering teams with a technically complex product Based in the USA only We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly! We are looking for a Staff Data Scientist | ML for our "Pay" team (claims payments product) to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes. What You'll Do Solve real business problems with data: Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact. Lead high-impact initiatives: Drive complex efforts such as vendor leakage detection and prevention, delivering measurable revenue or cost improvements. Innovate on methods and approaches: Go beyond standard analyses by developing new metrics, models, or workflows when existing approaches fall short. Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners. Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results. Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans. Set technical direction (especially at L7): Raise the bar for data science quality, scalability, and impact across the organization through mentorship, design reviews, and technical leadership. What You'll Bring Proven track record of hands-on data science impact on real-world problems, not just research or dashboards. Strong proficiency in SQL, with experience working directly on complex, large-scale datasets. Experience building, shipping, or supporting production ML systems, preferably some exposure to LLM-based products or workflows. Ability to independently scope ambiguous problems, identify the right data and methods, and drive work to completion. Strong communication skills, with the ability to explain complex analyses and models to non-technical stakeholders. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: _

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines seeks to bring its global expertise in AI to transform companies around the world. A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability., • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow., • Leadership: Experience leading data science teams and managing multiple projects simultaneously.Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).

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

is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, _ turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: • Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products., • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions., • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions., • Establish and maintain best practices for data collection, analysis, and reporting., • Deliver actionable insights and recommendations focused on landing tangible product impact., • Help foster a culture of data-driven decision-making and continuous improvement within the product teams., • Ensure the integrity and accuracy of the data used for analysis and reporting., • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: • Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data., • Expertise in translating complex data into insights that are actionable for cross-functional teams., • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience., • Experience in building and maintaining reliable analytics infrastructures., • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders., • Experience with 0 to 1 product initiatives is a plus, though not required., • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience., • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required., • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required., • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus., • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential., • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $160,000 - $200,000 USD Tier 2 Pay Range (All other US Locations) $140,000 - $176,000 USD Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more _

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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Senior Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities • Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve., • Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever., • Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure., • Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity., • Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform., • Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org. Minimum Qualifications: • Experienced product manager with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking., • Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring)., • Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities., • Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps., • Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams. Preferred Qualifications: • Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management., • Understanding of the Ad Tech ecosystem (bidding, ranking, targeting)., • Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG). Perks and Benefits: • 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago), • Competitive salary and equity options, • Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc), • Generous 401k matching, • Flexible vacation policy, • Paid parental leave (4+ months), • Family planning support, • Paid volunteer time off #LI-AS1 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 salary 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 salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. 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, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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.

About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit . All roles supporting are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: As a Senior Product Data Scientist at, you will sit at the intersection of product strategy, experimentation, and data science. Your mission is to drive measurable improvements in user growth, engagement, retention, and revenue through rigorous analysis, experimentation, and data-informed product decisions. You will partner closely with Product Managers, Engineers, Designers, and Business leaders to understand user behavior across the full lifecycle, design and evaluate experiments, and translate insights into product changes that materially move core metrics such as conversion, ARPU, retention, and stickiness. This is a hands-on role for a data scientist who has repeatedly used A/B testing and product analytics to drive real business outcomes, not just analysis or reporting. Core Responsibilities: Own and drive end-to-end product analytics for key consumer-facing products and initiatives Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify opportunities for growth, monetization, and improved user experience Design, execute, and analyze A/B and multivariate experiments to evaluate product, UX, pricing, and growth initiatives Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders Develop and maintain key product KPIs, dashboards, and monitoring metrics to track product performance and experiment results Ensure accurate event tracking and data instrumentation for new and existing product features Leverage AI-assisted tools and ML techniques (e.g., segmentation, propensity scoring) to take on more advanced analysis to support product decisions Support ad-hoc data requests from cross-functional teams across the company Support strategic deep dives that influence roadmap prioritization and business strategy Preferred Skills/Experience: 4+ years of experience in Data Science, Product Analytics, or a closely related role in a consumer-facing tech company Proven, hands-on experience designing and analyzing A/B tests that led to measurable improvements in metrics like revenue, ARPU, retention, etc. Strong understanding of experimental design, statistics, and causal inference, including common pitfalls and trade-offs in real-world experimentation Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys Fluency in SQL and proficiency in Python or R Experience building compelling dashboards and data visualizations to communicate insights (experience with Tableau is a plus) Comfortable leveraging AI tools to extend analytical capabilities and independently tackle more complex analyses Strong business acumen with the ability to connect data insights to product strategy and commercial outcomes Excellent communication skills, with the ability to influence product decisions through data Experience working in a fast-paced, high-growth startup environment Ability to manage multiple initiatives simultaneously while maintaining analytical rigor and execution quality Prior experience in fintech, crypto, or marketplace products is a plus, but not required The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,000 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. Our Mission: At _, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: Act with Integrity: We do what’s right, even when no one is watching. Be Collaborative: We work together with respect and transparency to achieve shared goals. Customers First: We listen to, advocate for, and prioritize our users in every decision we make. Do the Work: We take ownership, follow through, and deliver results that move the mission forward. Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available _. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

Senior Data Scientist (United States - Remote) Why this Role Matters: At Greenbox Capital, we help small businesses thrive by providing fast, accessible funding. As a Senior Data Scientist, you’ll play a key role in building and scaling the predictive models that power our credit decisioning, risk management, and fraud prevention strategies. Your work will directly influence how we evaluate opportunities, optimize profitability, and deliver smarter, faster decisions to our customers. You’ll drive results across machine learning, experimentation, and data-driven strategy, helping us continuously improve our products and operations. This role reports to the VP of Technology and is a critical contributor to our data science function and overall growth strategy. What Success Looks Like: Here’s how your time might break down (actual time can shift depending on business needs): • Model accuracy and predictive performance impacting credit decisions, • Business impact through conversion rate, revenue growth, and risk-adjusted profitability, • Effectiveness of experimentation (A/B testing and causal inference insights), • Reliability and scalability of production models How you’ll be measured: Data Science Strategy & Model Development • Design, build, and deploy predictive models that directly impact credit, risk, and product performance, • Apply causal inference and experimentation to improve model and business outcomes Cross-Functional Collaboration & Business Impact • Partner with product, risk, and leadership teams to translate business needs into data-driven solutions, • Communicate insights clearly to influence strategic decisions Model Deployment & Data Infrastructure • Support production deployment and ongoing optimization of models, • Monitor performance and continuously improve model accuracy and reliability You’re a Strong Fit if You: • Have demonstrated ability to analyze complex problems and deliver data-driven solutions with measurable impact, • Bring strong ownership and accountability in a fast-paced, growth-oriented environment, • Are naturally curious and continuously seek to improve models, systems, and processes, • Communicate complex ideas clearly to both technical and non-technical audiences, • Collaborate effectively across global, cross-functional teams, • Exhibit a growth mindset and adaptability when working with evolving data and business needs What You’ve Done Before: • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field required; advanced degree (MS, PhD, or MBA) preferred, • 8+ years of experience in data science, predictive modeling, and financial analytics, • Proven success developing and deploying machine learning models in FinTech or financial services, • Experience in merchant cash advance, revenue-based financing, or alternative small business lending (strongly preferred), • Experience working in startup or high-growth environments and scaling systems Tools and Expertise You’ll Bring: • Advanced proficiency in Python for model development and system design, • Strong experience with SQL and large-scale data analysis, • Deep expertise in statistical modeling, machine learning, and feature engineering, • Experience designing and analyzing A/B tests and applying causal inference methods, • Experience with model deployment, monitoring, and lifecycle management, • Familiarity with Databricks, MLflow, and modern MLOps practices What to Expect from Our Interview Process We believe in a respectful, efficient, and transparent hiring experience. Here’s what you can typically expect: Step 1: Initial Phone Screen (30 minutes) A brief conversation with a recruiter to learn more about your background, interests, and alignment with the role. Step 2: Hiring Manager Interview (1 hour) A deeper discussion about the role, your relevant experience, and how you’d contribute to the team. Step 3: Role-Specific Assessment or Panel Interview (1 hour) Depending on the role, this may include a take-home assignment, technical interview, or live case study with team members. Step 4: Final Interview or Leadership Chat (1 hour) A final conversation with senior leadership or cross-functional team members to ensure alignment with our mission and values. Step 5: Offer & Background Check If it’s a mutual fit, we’ll move forward with background check and present a competitive offer. We aim to complete this process within 2–3 weeks from your first conversation with us. Benefits: 💸 Competitive Pay - We know your worth and we pay accordingly. 🌴 Flexible PTO - Work hard, rest well. Take the time you need to recharge. 🏡 Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned. 🩺 Full Benefits Package - Health, dental, vision, 401K with employer match 🧠 Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Wear Green First, Pull the Thread, Move the Needle, Courage Over Comfort, Think Bold, Win Together, and Own the Outcome

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.

PeopleFun is an award-winning creator of mobile games for players across the globe. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we have a number of exciting mobile games in development to fuel the future growth of PeopleFun. We believe in bringing People together through Fun by creating the best in class social features and communities in our games that enables our players to engage deeply with other players. Secondly we endeavor to bring our studio teammates together by creating the very best game teams that foster healthy collaboration, incredible productivity, and life-long professional relationships. Candidates who reside or will reside in the following locations are eligible for this role: California, Colorado, Florida, Georgia, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, Oregon, Rhode Island, Texas, and Washington State. Job SummaryPeopleFun is actively seeking a highly skilled and innovative Principal Engineer to lead the development of our pioneering dynamic difficulty system, WordAlgo. This critical role involves optimizing the player experience by dynamically adjusting game difficulty in real-time, leveraging initial rule-based algorithms, and subsequently integrating advanced Machine Learning and Large Language Models. The impact of this work will extend across multiple mobile word puzzle games within our portfolio, significantly enhancing player engagement and retention. Reporting to a General Manager with a strong engineering background, the successful candidate will operate within a collaborative, agile team comprising a data scientist and a data engineer. This environment emphasizes iterative development, A/B testing, and continuous evaluation of innovative solutions. We are looking for a professional with a proven track record in challenging technical domains, a proactive approach to problem-solving, and a passion for creating highly engaging mobile game experiences. This position offers a unique opportunity to contribute to a transformative initiative within a fast-paced and forward-thinking organization. • Design, develop, and implement the core Word Algorithm (WordAlgo) system, initially focusing on rule-based logic and evolving into ML and LLM-driven solutions using unit tests, • Create tools to convert and generate optimized data for use in mobile games., • Collaborate closely with data engineers and data scientists to integrate data pipelines and leverage player data for difficulty detection and adjustment., • Work hand-in-hand with game development teams to seamlessly integrate WordAlgo into existing and new mobile games, ensuring a clean and well-documented API for game logic to consume., • Design and document technical specifications for WordAlgo components, including algorithm logic, data flow, and API contracts., • Participate actively in an Agile development environment, contributing to iterative design, implementation, and testing cycles., • Continuously monitor and analyze game performance data to identify opportunities for algorithm optimization and player experience improvement., • Articulate technical concepts, challenges, and solutions clearly and concisely to both technical and non-technical stakeholders through verbal and written communication., • Champion PeopleFun's culture of trust, humility, and team-focused results in all aspects of work., • 7+ years of experience in mobile game development, with a strong understanding of game architecture and systems., • Demonstrated experience successfully launching and operating at least one commercial mobile game title., • Expert-level proficiency with Unity game engine, including a deep understanding of its architecture, scripting (C#), and best practices., • Proven ability to design and implement robust, scalable, and well-documented APIs., • Excellent verbal and written communication skills, with the ability to articulate complex technical ideas and engage in productive discussions., • Experience writing comprehensive technical design documents., • Familiarity with Agile development methodologies and a track record of delivering iteratively., • Experience with or a strong understanding of Machine Learning concepts and applications., • Familiarity with Unity Sentis or similar on-device ML inference engines., • Experience working with large datasets and data-driven systems., • Knowledge of Natural Language Processing (NLP) or Large Language Models (LLMs).PeopleFun provides a competitive total compensation package with a pay-for-performance rewards approach. The expected base pay range for this [CA-based or North America-based] position is $120,000–$206,250. Compensation is based on factors including market location and individual qualifications. Depending on the position offered, equity, sign-on bonuses, and other compensation may be included as part of the total package. BenefitsMedical/Dental/Vision Insurance Performance Bonuses401K Match Policy Flexible PTO PolicyWellness Stipend Free Lunch each FridayGenerous Parental Leave & Family-Friendly CultureAnnual Credits for Professional Development & In-App Purchases PeopleFun is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant _.

We are looking for senior leaders in data science roles who have experience within technology companies or tech-adjacent environments, value learning, growth, and community and who are passionate about developing and coaching people in their field. As a Mento coach, you will form 1:1 partnerships with our members to help them identify & track clear goals, become a better leader, communicate more effectively, problem-solve issues at work, and help them feel happy, fulfilled, and engaged at work and beyond. All Mento coaches, regardless of coaching experience, are required to participate in our ICF-certified coach training program to learn Mento’s coaching methodology prior to working with our members. Our coach training is an immersive, transformational training designed to help you grow as a coach, master the Mento Coaching Methodology, and gain access to proprietary tools that set our coaches apart. This program is ICF-certified, and participants who successfully graduate will earn Continuing Coach Education Units. If you’re ready to elevate your coaching skills, deepen your impact, and become part of a groundbreaking coaching team, we encourage you to apply and take the next step in your journey! Your routine responsibilities will include: Providing 1:1 coaching to Mento members through virtual sessions using the Mento Platform and Tools Participating in ongoing training sessions to improve coaching abilities and skills Communicating with members via your Mento email or via chat in the Mento App in between sessions Being an integral member of the Mento coaching community by sharing coaching tools and insights — helping enhance our coaching practices and fulfill our mission of empowering people to thrive in jobs that they love Acting with kindness, respect, and empathy as an ambassador of the Mento community You are… A director, vice president, or other senior data science leader with 20+ years of experience managing data science teams and coaching individuals (coaching certification is a plus but not required). Someone who wants to turn their people leadership skills into meaningful coaching skills. Passionate about helping people advance in the workplace to build fulfilling careers and lives. A person who is self aware, who has a high emotional IQ, and who cares about creating a safe space for others to risk being vulnerable. Excited about growing your coaching skills, and you bring a growth-mindset to the experience, regardless of how long you have been a coach. Comfortable working in a constantly-changing startup environment. Able to dedicate a minimum of 12+ hours per month to coaching at Mento for the next 24+ months. At Mento, we invite new coaches to join us on a rolling basis. The time frame on which we add new coaches is based on the particular needs of our clients and their teams. While we may not need to add a Data Scientist Coach today, we would still be very excited for you to get in touch with us now if this opportunity resonates with you. This is a contract position in which coaches are paid per hour. On top of a flat hourly rate, we offer select bonuses that incentivizes engagement with our membership and community growth on our platform You must have the capacity to give a minimum of three to five hours per week towards Mento regardless of other commitments and how they may change. You are able to work with Mento for a minimum of 24 months in order to build meaningful relationships with our members. This is a fully remote position. Candidates must be based in North America or Europe. Because this is a part-time growth opportunity, we are looking to hire experienced senior leaders who want to expand their coaching skills. Our Hiring Philosophy: All new Mento coaches are required to participate and graduate from our ICF certified coach training program: Mento Coaching 101. This training is rigorous, and our goal is that all participants are able to be matched with members soon after they complete it. We want to make sure that we are both setting our coaches up for success and respecting everyone’s time. Therefore, we hire based on incoming member demand. While we are constantly looking and interviewing for the best coaches to join our team, we will only send offers to candidates for whom we have an immediate need. Candidates who receive a YES from Mento after the interview process will either be sent an offer to join the next monthly Coaching 101 training or be added to our coach shortlist to join us when the demand is there. Inclusion Statement: We are proud to foster a workplace free from discrimination. Research shows that candidates from unrepresented backgrounds may not apply to jobs unless they meet 100% of the job requirements. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. We encourage you to apply even if you do not meet all the requirements.

At 2U, we are all in on purpose. We are motivated by our mission – to make learning limitless– and connected by our shared passion to deliver world-class higher education at scale. As the parent company of edX, a leading online learning platform, 2U powers thousands of higher education offerings – from free courses to full degrees. Together with our college, university, and corporate partners, we are helping accelerate careers and transform lives. What We’re Looking For: The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive insight and decision-making for edX.org, 2U's open online learning marketplace. This is a high-leverage analytics role focused on product analytics, experimentation, and causal inference on large, complex behavioral datasets. We are looking for someone who is excited by ambiguous business problems, can triage a high volume of stakeholder requests and match each one to an appropriate level of rigor, and is skilled at turning messy data into clear, actionable insight. The ideal candidate is intellectually curious, takes the initiative to understand the domain and refine the question behind the question, and communicates complex findings in ways that educate and enable stakeholders. Responsibilities Include, But Are Not Limited To: • Product analytics and ad hoc analysis Serve as the analytics partner for Product, Marketing, and Finance teams on edX.org, delivering funnel, cohort, retention, and segmentation work. Triage a high volume of incoming requests and match the depth of each response to the decision at hand, from back-of-the-envelope estimates to deeper investigations., • Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis through interpretation. Where randomization isn't possible, use quasi-experimental methods such as difference-in-differences, propensity scoring, regression discontinuity, and synthetic control., • Metric definition and self-serve enablement Establish and maintain north-star, input, and guardrail KPIs. Build scalable dashboards and tooling that reduce the long tail of repeat requests., • Data modeling and validation Partner with Data Engineering to keep upstream sources trustworthy. Contribute to dbt models, lead EDA on unfamiliar datasets, and add checks that catch quality issues before they reach dashboards or partners., • Applied machine learning Use standard ML techniques (classification, regression, clustering) where they accelerate insight beyond what statistical analysis alone can deliver., • Domain learning and stakeholder education Develop a deep understanding of the edX product, learners, and business. Coach partners on statistical concepts, refine ambiguous questions, and turn complex findings into actionable recommendations. Things That Should Be In Your Background: • Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics, computer science, economics, or similar). Graduate degree preferred., • Professional Experience: 3–5 years in data science, product analytics, or a related quantitative role, • Communication: Able to refine ambiguous questions, translate findings for business partners, and clarify what the results do and don't say., • Statistics & data rigor: Solid foundation in hypothesis testing, power analysis, confidence intervals, and multiple comparisons, plus strong EDA and validation skills on unfamiliar data, • Experimentation & causal inference: Running A/B tests end-to-end, plus quasi-experimental methods where randomization isn't possible (e.g., difference-in-differences, propensity scoring, regression discontinuity, synthetic control). Prefer experience with modern experimentation platforms (e.g., Statsig, Eppo, Optimizely, LaunchDarkly)., • Product analytics & domain: Hands-on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or a comparable consumer subscription / marketplace product, • Programming & data: Strong Python (pandas, NumPy, scikit-learn) and advanced SQL on large, complex datasets. Prefer exposure to large-scale data platforms (e.g., Snowflake, BigQuery, Databricks, Spark). While this position is open to remote candidates across the U.S., we will prioritize those who live in the Washington-Baltimore metropolitan area and who are available to come into our Headquarters in Arlington, VA two days a week. Benefits & Culture Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide millions of learners and counting with access to world-class higher education, then join us – and do work that makes a difference. We offer comprehensive benefits (unique per country) and excellent work/life balance. Full-time, U.S.benefits include: Medical, dental, and vision coverage Life insurance, disability, and 401(k) employer match Free snacks and drinks in-office Generous paid holidays and leave policies, including unlimited PTO Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break The anticipated base salary range for this role is ($107,300 - $124,200), with potential bonus eligibility. Salary offers are made based on the candidate’s qualifications, experience, skills, and education as they directly relate to the requirements of the position, budget for the position and cost of labor in the market in which the candidate will be hired. 2U Diversity and Inclusion Statement At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: _. About 2U 2U partners with the world's top universities and companies to develop and deliver education programs that accelerate careers and transform lives. Through partnerships with the world’s leading colleges, universities, and companies, 2U delivers thousands of online programs to millions of learners worldwide on edX, its global learning platform. From executive education and professional credentialing to master’s degree programs and free, open courses, 2U transforms how top institutions deliver workforce-aligned online education, enabling professionals to advance without pausing their careers. Learn more at 2U.com. The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. 2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • 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

Founded in 2017, Trust & Will is the leading digital estate planning platform, trusted by over one million users. We provide modern, accessible solutions to help families protect their legacies with attorney-approved, legally valid documents tailored to individual state requirements. Our seamless online platform simplifies the estate planning and settlement process, empowering individuals to create wills and trusts while also partnering with financial advisors, attorneys, and institutions to make legacy planning more inclusive and affordable. If you are passionate about contributing to a high-impact mission and want to work in a collaborative environment where your skills and expertise will be valued, we would love to hear from you! • You are a clear, concise communicator who can translate a complex regression or other mathematical reasoning into a one-paragraph recommendation for a non-technical stakeholder., • You are a data scientist and analyst hybrid equally comfortable building a causal inference model and presenting the business implication to a VP., • You have startup experience and know what it means to stand up an analytics function, ship scrappy analyses, and build toward rigor not wait for it., • You treat experimentation as a discipline, not a buzzword. You design tests, size samples, interpret results correctly, and know when an A/B test isn't the right tool., • You think in systems and funnels you connect product behavior to business outcomes and are never satisfied stopping at the metric without asking why., • You operate with high autonomy and you identify the most important question, define the approach, execute the analysis, and deliver the recommendation without a detailed playbook., • You are AI-curious and actively explore how AI tools can accelerate your analytical workflows, automate repetitive queries, and surface insights faster., • This position is available to candidates residing in the following states only: California (CA), Colorado (CO), Florida (FL), Georgia (GA), Idaho (ID), Illinois (IL), Maryland (MD), New Jersey (NJ), New York (NY), North Carolina (NC), South Carolina (SC), Pennsylvania (PA), Texas (TX), Vermont (VT) We're looking for a Senior Product & Growth Analyst to own the analytical engine behind Trust & Will's growth. This is a high-ownership role: you'll work across product, marketing, and revenue to understand what's driving conversion, retention, and lifetime value and you'll translate those findings into decisions that move the business. This is not a reporting role. You will define the questions worth asking, build the models that answer them, run experiments to test the hypotheses, and guide the roadmap based on what the data shows. You'll partner closely with the Director of Data Engineering, product managers, and growth leadership and you'll have direct access to senior stakeholders. The core challenge is analytically interesting: estate planning is a low-frequency, high-intent product with a B2C direct channel and a growing B2B2C advisor network. Understanding how different user segments activate, convert, and retain and which levers compound requires real analytical depth. You'll have the data, the infrastructure, and the mandate to figure it out. Product Analytics • Instrument and analyze user behavior across the Trust & Will product activation milestones, feature adoption, onboarding drop-off, and engagement patterns using PostHog/Other., • Develop and maintain the core product analytics dashboard and data models, enabling self-serve access for PMs, designers, and marketers., • Identify friction points in the estate plan creation flow and quantify the impact of proposed product changes before and after release. Growth & Funnel Analytics • Own end-to-end funnel analysis from acquisition through plan completion and membership renewal identifying drop-off points, segmenting by channel and user type, and prioritizing optimization opportunities by expected impact., • Build and maintain cohort models to track retention and engagement across consumer and advisor-sourced customers; surface early-warning signals for churn., • For example, develop and maintain LTV models that account for plan type, channel, upsell pathways, and membership behavior directly informing marketing budget allocation and partnership ROI decisions., • Design and execute multi-touch attribution analysis across paid media, organic, AARP partnership, and advisor referral channels. Experimentation • Lead the experimentation program end-to-end: hypothesis formation, experimental design, sample size and power analysis, execution in PostHog/Others, statistical analysis, and business recommendation., • Build guardrails and standards for when and how to run experiments including when to apply experimental methods propensity score matching and when randomized testing isn't feasible., • Partner with product and marketing teams to prioritize the test backlog based on expected impact and feasibility. Data Science & Modeling • Build predictive models for churn risk, conversion propensity, and upsell likelihood using early behavioral signals., • Develop user segmentation frameworks that inform personalization, messaging, and product prioritization., • Apply statistical rigor to all analytical work communicating uncertainty, flagging limitations, and recommending confidence thresholds before decisions are made. Stakeholder Partnership & Communication • Serve as the primary analytics partner for product and growth leadership, owning the analytical workstreams that support quarterly roadmap decisions., • Prepare and deliver data-driven recommendations to senior stakeholders and the executive team punchline first, minimum viable backstory, clear ask., • Mentor junior analysts and product/eng on methodology, communication, and prioritization; help build team-wide analytical standards. Core Experience • 8-12+ years of experience in analytics, data science, or a closely related quantitative role., • Prior experience in a high-growth startup environment you've operated with limited resources, ambiguous data, and shifting priorities and delivered anyway., • Demonstrated data science background: you've built predictive models, designed and analyzed experiments, and applied statistical methods to business problems in production settings., • Experience owning an analytics domain end-to-end not just answering requests, but generating the questions and driving decisions. Technical Skills • SQL: Advanced window functions, CTEs, complex joins, query optimization on large datasets., • Python: Proficient pandas, statsmodels, scikit-learn, matplotlib/seaborn; you write clean, reproducible analytical code., • Experimentation: End-to-end A/B test ownership, power analysis, and working knowledge of experimental methods. Product Analytics: PostHog, Amplitude, Mixpanel, or equivalent funnel analysis, cohort analysis, event instrumentation. • BI / Visualization:ThoughtSpot, Omni, or equivalent building dashboards that enable self-serve, not just answering one-off requests., • Data Modeling: Familiarity with dbt and the analytical data modeling - like ActivitySchema, Star Schema etc… Bonus Points • Experience in fintech, legaltech, insurtech, or another regulated consumer vertical., • Familiarity with Bayesian methods or causal inference frameworks beyond standard A/B testing., • Experience with product-led growth (PLG) motions or B2B2C business models., • Background in subscription, membership, or low-frequency/high-intent consumer products., • Contributions to building an analytics function from scratch metrics frameworks, data dictionaries, experimentation standards., • Comfort working with an AI Data Analyst tool in a self-serve analytics context., • Compensation: Salary + Equity, • Our salary range for this position is $140,000 - $190,000, in addition to compensation we also include an employee equity package as a component of our offer along with other benefits and perks outlined below., • PTO, • Flexible time off that you are encouraged to use, • Generous paid company holidays and breaks throughout the year, • Monthly friends & family day, • Paid time off to volunteer in your community, • Health and Wellness Benefits, • Exceptional health benefits including medical, dental, vision, life, and disability insurance - we cover 100% of premiums for employees and dependents on medical coverage, • Mental health support through Spring Health, plus access to One Medical for primary care and Cleo for family planning and caregiving, • Financial wellness benefits (unlimited 1:1 sessions with a UBS financial coach and employer-sponsored 401k with up to 4% company match), • Extra, • Flexible work schedule + hours, • Family-friendly work environment. We support the complexity of a remote world with the needs of families, • Up to $1,000 annually in learning & development reimbursement, • Optional company-sponsored events and travel throughout the year, • $500 Work from home stipend + Apple accessories About Trust & Will: • We are a remote-first company, giving our employees the flexibility they need to work in an environment that best suits their needs. Our hiring process is also conducted virtually unless otherwise noted. We are a company that was founded in San Diego, CA, and offer a collaborative co-working space that is available for you to use if you'd like but not required. #LI-Remote, • We are proud to be a certified B Corporation, using business as a force for good. We are committed to building a healthy, sustainable, and engaging working environment for all employees, their families, and communities. We publish an annual impact report to outline our positive contributions to our world and set an example for all employers., • Trust & Will's mission is to help every family leave their legacy through affordable, accessible estate planning. That starts with the people we hire and the ways in which we support the development of their unique talents and capabilities. We are committed to prioritizing ways to make our company and industry more inclusive. This means we must be revolutionary in the way we value diversity to revolutionize our business sector. At Trust & Will, everyone has a seat at the table and space to be their authentic selves because only in a company that is inclusive and diverse can we truly stand in our members' shoes. California Privacy Notice: Trust & Will collects personal information from applicants including identifiers, professional/employment history, and education information to evaluate qualifications and communicate about your application. California residents have the right to know what information we collect, request a copy, correct inaccuracies, or request deletion (subject to exceptions). To exercise these rights, contact legal@trustandwill.com. For more information, visit our_. Trust & Will may use AI tools to assist with administrative recruiting tasks. All final hiring decisions are made by people. For accommodations, contact people-ops@trustandwill.com.

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. • Develop a deep understanding of customer journey phases and key business metrics, • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments, • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights, • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes, • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends., • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets, • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments, • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written, • Understand what matters most and prioritize ruthlessly, • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate, • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field, • 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting, • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction, • Significant experience with SQL and large unstructured datasets such as Hadoop, • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees, • Solid background in running multivariate experiments to optimize a product or revenue flow, • Strong verbal and written communication skills, • Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus, • Product analytics experience in a SAAS company, • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200 - $201,800 USD US Zone 3 $132,600 - $179,400 USD

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our _. About the Role: Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (7+ years) applying their expertise in a business environment. As a Staff Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. About the Team: In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. We have multiple senior roles open, each focused on a different area of our business. Here’s what you’ll do day-to-day: • Lead: Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains., • Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making., • Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise., • Experimentation & Measurement: Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality., • Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines., • Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company., • Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders., • Scaling the Craft: Mentor other data practitioners, up-level team best practices in experimentation, statistical modeling, and metric interpretation. Drive improvements in data quality, rigor, and adoption of better data capabilities leveraging AI-native tools and workflows across the org. Here’s what we're looking for: • 7–10 years of experience in Data Science at a product-focused software company., • Strong SQL skills and comfort with Python, • Proven ability to apply statistical methods, causal inference, AI tools, and experimental design to real business problems., • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership., • Demonstrated experience leading large, technically complex projects with clear business impact., • A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights., • Passion for mentoring others and raising the bar for data science craft across the team., • BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Our cash compensation amount for this role is targeted at $154,000/yr - $181,000/yr in Denver, $168,000/yr - $198,000/yr in Los Angeles, $186,000/yr - $225,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out _ and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our _. Personal information collected and processed as part of your Gusto application will be subject to _.

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._