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Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth.Our comprehensive platform offers automated customer service handling, seamless returns/exchange manage

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including: • Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting., • Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals., • Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms. Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia! What we’re looking for: We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. This pivotal role focuses on architecting and implementing cutting-edge AI solutions for the energy sector, working directly with leadership to shape our technical vision and product roadmap. This role will initially report to SVP, R&D. Arcadia is remote-first and employees have access to co-working spaces. We are open to candidates based in Washington DC or New York. #LI-REMOTE • Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia, • Efficiently develop notebook-based and agentic solutions for internal and external customers, utilizing AI models, and Arcadia’s APIs and data, • Lead the development and integration of Gen-AI models and agents into Arcadia’s products and processes, • Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization, • Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs., • Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation, • Contribute code to enhance our platform’s AI and data capabilities, • Collaborate effectively with remote team members, • Gen AI experience - both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development, • 2-5 years of experience developing Machine Learning/AI-based systems in an iiterative or dynamic/agile development environment. Experience in the energy sector is preferred., • A minimum of 10-12 years of technical experience in data and/or engineering, • Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields., • Practical experience with Applied Machine Learning techniques, including regression, classification, and supervised/unsupervised learning, • Fluency with Python or R, SQL, and Java or JavaScript, • Experience with software engineering for real-world applications (ideally through professional experience), • Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics, • Experience with scalable machine learning (MapReduce, streaming)., • Experience with time series and dynamical systems., • Ability to manage projects and work efficiently independently and collaboratively, • Ability to quickly formulate and document assumptions to advance projects, • Strong commitment to continuous learning and professional growth, solution-oriented, and committed to making a positive impact, • Ability to communicate complex technical concepts to both technical and non-technical stakeholders, • Prepared to share project portfolio (GitHub, papers, etc.). Benefits: • "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection, • Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year, • 12 annual holidays, • 10 days sick leave, • Up to 4 weeks bereavement leave, • 2 volunteer days off, • 2 professional development days off, • 12 weeks paid parental leave for all parents, • 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Eliminating carbon footprints, eliminating carbon copies. Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing prior to completing your application.. Target Base Range for this role will be $146,250 to $262,000. There will also be a competitive benefits and equity component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education). Please Note: Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location), employment decisions regarding qualifications are not made solely by AI without human oversight. Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting *Visa Sponsorship • Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team, • Other roles: Please note that we are unable to offer visa sponsorship for this position at this time Thank you

We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through analyzing data, building reusable tools & processes and integrating with live engineering services. At Stitch Fix, our data science team combines data insights with expert human judgment to ge

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. Experience with more than one company size or business stage preferred.

Design, own, and evolve the People data foundation, including pipelines and BigQuery data models, in partnership with Data Engineering and HR Operations. Experience (and interest) in managing data pipelines and data warehousing. Strong experience using SQL to query large datasets, proficiency with T

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. The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-f

We are seeking a highly motivated and detail-oriented Data Scientist to join our team.In this role, you will be responsible for analyzing large datasets to uncover insights, develop predictive models, and help guide strategic decisions across the organization.You’ll collaborate closely with busine

Familiarity with statistical analysis and the preferred programming languages of the team (R / Python).

We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.We’ve seen tremendous traction and are growing extremely quickly.Our real-time APIs have helped verify

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org.The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation.This position require

Alpha is a product studio focused on the intersection of AI and consumer social – backed by a16z and many of the top investors in the world.Our goal is to create social products that we use, that our friends use, and that have the potential to reach billions of people.Clubhouse was our first app,

Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. Partner with platform and engineering teams to define and build core RiskOS data science infr

Experience integrating research-grade artifacts into pre-existing code bases. We are looking for a Senior Staff Scientist – Quantum Financial Services. As a Senior Staff Scientist – Quantum Financial Services, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journ

We are looking for a talented individual to join the Core Data Science team at LaunchDarkly – a small but mighty team responsible for core methodology within our product line.

Kandu, Inc. is pioneering an integrated approach to stroke recovery by combining FDA-cleared brain-computer interface technology with personalized telehealth services. Our IpsiHand® device is durable medical equipment that enables chronic stroke survivors to regain upper extremity function with daily home use. Combining this advanced technology with the support of expert clinicians offers a comprehensive path to recovery–helping survivors improve mobility, independence, and quality of life. As a Neuro Data Scientist, you will serve as a scientific and analytics leader for the organization, shaping evidence generation and research strategy in partnership with Clinical, Product, and R&D leadership. This role offers the opportunity to determine who benefits from our neurorehabilitation devices, quantify clinical and economic impact, and drive future product enhancements through rigorous, data-driven analysis in the stroke rehabilitation space. You will work closely with world-class teams and leading clinical experts to ensure our solutions are grounded in real-world rehabilitation evidence and supported by compelling, decision-grade evidence for patients, providers, and payers. What You’ll Do • Analyze manufacturer device datasets (usage, adherence, device performance and utilization measures, demographics, and clinical context) using advanced statistical and data science methods—including heterogeneity of treatment effect approaches—to quantify outcomes, identify responder profiles, and determine which patient segments and usage patterns drive benefit in stroke neurorehabilitation., • Design and execute real-world evidence analyses, including cohort construction, endpoint definition, risk adjustment, and longitudinal follow-up; integrate/link device data with external sources (EHR, claims, registries, PROs) when available, using reproducible, QA’d analytic datasets and pipelines., • Lead HEOR evidence generation to quantify the device’s clinical and economic value—analyzing healthcare utilization and costs and partnering with HEOR experts as needed on cost-effectiveness and/or budget impact models—translating results into payer/provider-ready evidence and a clear value story., • Translate findings into peer-reviewed publications and prioritized product enhancement recommendations; lead scientific writing (protocols, analysis plans, evidence reports, manuscripts) and drive abstract/poster submissions and peer-review responses., • Present findings internally and externally, representing the organization at scientific congresses as needed., • Stroke Neurorehabilitation Outcomes Expertise – Demonstrated experience in stroke neurorehabilitation outcomes research, including defining clinically meaningful endpoints and interpreting results in real-world settings., • Advanced Analytics & Real-World Evidence Methods – Proven ability to analyze manufacturer device data (usage, adherence, device performance/utilization measures) and execute rigorous RWE studies (cohort construction, risk adjustment, longitudinal analyses), including heterogeneity of treatment effect approaches., • HEOR Value Demonstration – Experience generating HEOR evidence, including healthcare utilization and cost analyses, and the ability to partner on cost-effectiveness and/or budget impact models to support payer/provider value narratives., • 5-10 years of experience as a Scientist, Data Scientist, Biostatistician, Advanced degree preferred (PhD/ScD/DrPH or MS ) with significant experience in data science, rehabilitation science, biostatistics, epidemiology, health economics, biomedical engineering, or related field., • Direct experience in stroke neurorehabilitation (clinical research, outcomes, rehabilitation workflows, or closely related neuro rehab domain)., • Deep expertise in real-world evidence and causal inference using observational healthcare data (e.g., propensity methods, longitudinal modeling, quasi-experimental designs). Demonstrated experience analyzing medical device and/or real-world healthcare data and communicating results to cross-functional teams., • Experience with linked healthcare datasets (device + EHR/claims/registry/PRO) and employing disciplined software development techniques to build scalable, reproducible analytics (e.g. significant experience with SQL, Git, QA/documentation)., • Strong applied statistics skills, including regression modeling, longitudinal analyses, and appropriate handling of bias/confounding in observational data., • Experience with HEOR (utilization/cost analyses and/or economic modeling) and translating evidence into a clear value story., • Strong external scientific presence, including first-author publications, conference presentations, and comfort representing the company with clinical/scientific stakeholders., • Proven product impact, translating evidence into roadmap decisions, measurable success criteria, and post-launch performance monitoring in med device/digital health., • Competitive Compensation ($180,000+/annually DOE + Stock Options), • Insurance (Medical/Dental/Vision), • 401(k) with company, • Unlimited PTO & Holidays Kandu, Inc. is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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

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

Job Description Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Scientist for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: 12+ Months Contract Location: Irving, TX Salary: $65.00-$70.00/Hourly Role: Data Scientist Primary Skills: SQL Role Description: The Data Scientist must have 2+ years of experience. For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Responsibilities: • Research, prototype, and develop AI/ML solutions for customer segmentation and personalization., • Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact., • Build, deploy, monitor, and analyze machine learning models in production environments., • Apply statistical experimentation techniques when launching and iterating on AI-driven products., • Partner closely with data, product, marketing, and engineering teams to align solutions with business goals., • Translate complex analytical findings into clear, actionable insights for non-technical stakeholders., • Stay current with emerging tools, frameworks, and best practices in data science and experimentation., • Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence., • Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: • 2+ years of experience in statistical data science, feature engineering, and customer segmentation., • 2+ years of hands-on experience with Python, SQL, and PySpark., • 2+ years of experience training, evaluating, and deploying machine learning models., • 2+ years of experience productionizing ML workloads in AWS or Azure., • Familiarity with containerized deployments using Docker and/or Kubernetes., • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: • Experience working with the Databricks platform., • Experience building ML models using large-scale structured and unstructured data., • Exposure to company ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs), • Experience integrating data science solutions into marketing and personalization workflows. Education: Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience: Minimum 2+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Aman Agarwal Recruiter Phone: 1 361.356.1669 Benefits: We have various coverages and additional benefits to choose from: • Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll)., • Paid Leaves (Wherever applicable)., • Life & Disability Coverage (Upon eligibility)., • 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Turnitin is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our products and services. At Turnitin, working remotely is our default. We respect local cultures, embrace diversity, and we respect personal choice. Turnitin is headquartered in Oakland, with offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), Amsterdam (Netherlands). Our diverse community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to: • Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered., • Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices., • Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary., • Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters., • Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs., • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings., • Optimize models for scaled production usage., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Write clean, efficient, and modular code, with automated tests and appropriate documentation., • Stay up to date with technology, make good technological choices, and be able to explain them to the organization.Qualifications Required Qualifications: • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A strong understanding of the math and theory behind machine learning and deep learning., • Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)., • Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite., • Excellent communication and teamwork skills., • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)., • Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai)., • Showcase previous work (e.g. via a website, presentation, open source code). Additional Information The expected annual base salary range for this position is: $112,125/year to $186,875/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do., • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so., • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership - We have a bias toward action and empower teammates to make decisions., • One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes., • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • 4 Self-Care Days per year, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Shift: Wednesday - Sunday 7:00 PM - 3:30 AM Rotating Holidays MICROBIOLOGY TASKS AND RESPONSIBILITIES: • Monitors Instrumentation for AST and ID. Performs QC., • Responsible for preventive maintenance of instrument(s), sterility studies., • Set up identification and susceptibility on microorganisms., • Perform PCR molecular testing as described in lab procedure., • Release microbiology results on a timely manner (TAT)., • Read and release results of non-culture kit tests as described in lab procedure., • Bachelors degree in Biological Sciences or related., • Must meet CLIA requirement for Microbiology testing personnel in high complex lab., • Follows the laboratory’s procedures for specimen handling and processing analysis, reporting and maintaining records of patient test results., • Follows procedures for handling potentially infectious materials., • Maintains records that demonstrate that proficiency testing samples are tested in the same manner as patient samples., • Maintains records of Proficiency Testing, evaluations and corrective actions., • Adheres to the laboratory’s quality control policies, documents all quality control activities, instrument and procedure calibrations and maintenance., • Follows the laboratory’s quality control policies whenever test systems are not within the laboratory’s established performance specifications., • Capable of identifying problems that may adversely affect test performance or reporting of test results., • Documents all corrective action taken when test systems deviate from the laboratory’s established performance specifications., • Performs all routine and new test procedures that are complex and require professional judgment when assigned to a specific area., • Demonstrates knowledge of theory behind the test performed., • Performs equipment preventive and corrective maintenance., • Performs validation, correlations, and other technical methods to document instrument accuracy and precision., • Reviews, corrects, follow up patient reports by sending corrected results and subsequently notifying all involved., • Assists the Microbiology Supervisor in maintaining adequate supplies and inventory levels., • Demonstrates the ability to prioritize work duties., • Recognizes the administrative changes in staffing and scheduling and adapt to these changes., • Assumes the day to day duties of the Laboratory Manager and Microbiology Supervisor when required., • Assists in performing quality control standards to assure accuracy of test results., • Assists and notifies the Supervisor in reviewing and solving quality control problems., • Responsible for running the Auto-Verification program., • Confirms testing on all Critical Values to ensure accuracy prior to releasing of test results., • Assists in training and orienting new employees., • Assists in handling clerical work as necessary., • Responsible for ensuring that Tests are completed on a timely basis (TAT) #DL

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description: * Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result. * Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens; * Analyze specimens using approved testing procedures (see department SOPs). * Review and release test results. * Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines. * Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations and all maintenance performed; * Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance. * Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor. * Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications. * Follow department's procedure in reporting STATS or Critical results to clients. * If applicable, answer questions from customers or other lab personnel. * Maintain complete records of all testing performed on-site. * Maintain general appearance of the department. * Make sure reagents/test kits have received dates, expiration dates, and if applicable opened dates. * Review/train on new procedures. * Attend monthly department and any additional training/educational meetings. * Participate in all applicable safety training sessions. * Know the location and contents of the safety manual. * Know the location/use of all applicable safety equipment. * If needed, participate in government or regulatory agency inspections. * Perform other duties as directed by supervisor. Qualifications: * BS in Medical Technology preferred; OR * BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493. 1433 published in March 14, 1990. * Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation). * United States educated candidates must provide a detailed original transcript. * A successful candidate should possess or be eligible for national certification as an MT / MLT from a recognized organization (ASCP or AMT). * A solid understanding of basic laboratory testing is required for this position. * The successful candidate must possess good computer skills and be able to adapt to working in multiple computer systems. * Must have knowledge of QC and QA as well as knowledge of all areas of the laboratory. * 1 year Clinical experience (high complexity testing) preferred. * Minimum of 1 year of clinical laboratory experience in highly complex testing for those with BS/BA in Chemistry or Biology. National and State licensure as required. * Must have the ability to establish work priorities and handle several procedures simultaneously. * Must interact with other departments. * Contact with clients may be required, good customer service skills are important. * Must protect patient confidentiality at all times. * Shift/Time Zone: 3rd shift 2am - 10:30 am (Central), Tuesday - Saturday Benefits: Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics. Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Vision Insurance: Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first enrollment date that is at least 30 days after employment begins. Enrollment dates are each January 1st, April 1st, July 1st, and October 1st. Technical Certification Bonus: Synectics is pleased to award its employees a bonus of up to $500 for an approved professional certification. In determining the bonus amount, Synectics will consider the cost of the test(s) for any certification relating to your current position, achieved during your employment with us. Only one Certification Bonus per calendar year may be awarded per employee. Only current, active employees will be eligible to receive this bonus. It will be awarded 90 days after the Synectics office has received documentation confirming the successful completion of the certification. Synectics is an equal opportunity employer. Company DescriptionSynectics is a leading staffing and workforce solutions company dedicated to connecting exceptional talent with top organizations. We specialize in IT, engineering, finance, healthcare, and professional services recruitment, offering both contract and permanent staffing solutions. With a people-first approach, we focus on understanding the unique needs of our clients and candidates to create long-term, successful matches. Our mission is to empower businesses with the right talent while helping professionals achieve rewarding career opportunitiesSynectics is a leading staffing and workforce solutions company dedicated to connecting exceptional talent with top organizations. We specialize in IT, engineering, finance, healthcare, and professional services recruitment, offering both contract and permanent staffing solutions. With a people-first approach, we focus on understanding the unique needs of our clients and candidates to create long-term, successful matches. Our mission is to empower businesses with the right talent while helping professionals achieve rewarding career opportunities

Job DescriptionAt 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. What You'll Be Doing • 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, • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment., • 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 gatheringsWhat 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 Glassdoor, BuiltIn and our Newsroom We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Match Group, we help millions of singles find meaningful relationships through our diverse portfolio of brands, including Match, Hinge, OkCupid, Plenty of Fish, and more. With a presence in over 190 countries, our reach is expansive-and growing fast. We're driven by a shared mission: to spark connections that transform lives. From behavioral science to machine learning, we apply deep thinking and innovative approaches to the complex dynamics of human connection. The Team: Match Group’s Analytics Team is looking for a Manager, Data Science with expertise in Marketing Analytics. Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams—including Product, Marketing, Engineering, and Finance—so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance. As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across multi-brand consumer products is a plus. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life. We think the same is true for creating the best platforms, so we work together IRL in our Vancouver office three days a week. How you’ll make an impact: * Master and be responsible for analyzing marketing responsiveness and business performance. * Build industry leading models to better understand the impact of our marketing investments and strategy. * Find the “story” in the data and communicate insights and opportunities with executives and other internal teams. * Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth. * Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data. * Support reporting and business intelligence needs of the entire Marketing team. We may be a Match if: * 5+ years of relevant experience in analytics or data science. * Experience building Marketing Mix Models (MMM) and other marketing measurement techniques * Ability to think objectively and interpret meaningful themes from quantitative and qualitative data * Ability to build constructive and effective relationships with a broad and diverse group of business partners * Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions * Proficiency with SQL required * Strong coding capabilities, preferably in Python. * Familiarity with BI concepts and tools, including data pipeline orchestration and dashboard creation * Knowledge of statistics, specifically experimental design and analysis * Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents). * Familiarity with common marketing KPIs, metrics, and growth experiments Why Match Group? Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body – Medical, mental health, and wellness benefits to support your overall health and well-beingFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial securityUnplug – Generous PTO and 14 paid holidays so you can unplugCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your workFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require a reasonable accommodation to participate in the hiring process — such as during pre-employment testing or interviews — please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage. #Match .

Job Description Job Title: Junior Data Scientist Visa: Independent Visa candidates only Hybrid Required Qualifications • Bachelor’s degree in Data Science, Computer Science, Statistics, or related field., • 2–3 years of experience in data analysis, machine learning, or similar roles., • Proficiency in Python or R, and SQL., • Basic knowledge of machine learning techniques and statistics., • Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib). Preferred Skills • Experience with Git and cloud platforms (AWS, Azure, or GCP)., • Internship or project experience in analytics or machine learning. Soft Skills • Strong problem-solving abilities and attention to detail., • Good communication and teamwork skills.Company DescriptionMagnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.Magnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.

Job DescriptionBenefits: • HYBRID, • Competitive salary, • Opportunity for advancement Work Arrangement • Hybrid work model: primarily remote within the DallasFort Worth area., • Occasional on-site presence required for meetings, training, or business needs., • Limited business travel may be required. Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience in building Asynchronous Python APIs. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis Required Qualifications Education • Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience. Experience • Advanced experience in data science, machine learning, AI, or optimization projects., • Proficiency in Python and SQL., • Strong understanding of statistical methods, experimental design, and model validation., • Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark)., • Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit). Preferred Experience • Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR)., • Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics. Skills & Abilities • Ability to independently manage and deliver on complex projects., • Strong problem-solving and critical thinking skills., • Effective communication skills for both technical and executive audiences., • Ability to adapt quickly to changing priorities and new technologies., • Strong interpersonal and collaboration skills. .....

Job DescriptionCompany Description Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers. Job Description We are looking for an experienced, hands-on Credit Risk, Sr. Data Scientist who is comfortable working with large data sets, coding in SQL and Python and gaining insights from the data and translating the results into actionable insights for business stakeholders. In this role, you will maintain and enhance our credit risk models/policies to monitor the portfolio and gain insights. You will also build and monitor credit risk models with an eye on loss forecasting and communicate the results to different teams such as Capital Market and Marketing. The candidate should have a passion for streamlining processes and building tools which can monitor models/portfolio effectively. You will be a key contributor to our risk management processes. Key Responsibilities • Building, maintaining and enhancing credit risk models for lending portfolios., • Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring., • Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance (vintage, credit bands, borrower attributes, macro factors) and provide insight into model deviations., • Maintain forecast deliverables: monthly/quarterly loss forecasts by vintage and segment, stress and scenario analyses, sensitivity testing., • Provide commentary and insights to business stakeholders on credit policy assumptions, model health, and emerging portfolio risks., • Automate reporting, dashboards and pipelines to streamline model monitoring and improve efficiency and accuracy., • Document model methodologies, assumptions, data sources and results in clear, audit-ready format consistent with risk governance requirements., • Participate in governance and review of credit model methodology, model validation support and liaise with external auditors or regulators where needed., • Continuously identify opportunities to improve credit decisioning accuracy, data infrastructure, modeling techniques, and integrate advanced statistical or machine-learning techniques as appropriate.Qualifications Required: • Minimum of 3 years’ hands-on experience in credit risk modeling and portfolio monitoring. For example, roles in model and performance monitoring, tracking charge-offs, delinquencies, vintage analysis, roll-rates, etc., • Strong programming skills in Python/SQL for data analysis, modeling and automation., • Solid background in Probability & Statistics, • Experience with pricing and price optimization along with analytics and monitoring related to pricing, • Experience with credit risk modeling methodologies: Scorecard models, XGBoost, time-series analysis, vintage modeling, roll-rate curves, survival analysis or logistic regression in consumer credit risk context., • Familiarity with data visualization tools (e.g., Tableau, Python Widgets) or dashboarding, • Strong analytical and critical thinking skills; ability to interpret results, identify trends, draw actionable insights and communicate clearly to non-technical stakeholders., • Excellent documentation skills and experience in preparing audit-ready deliverables (methodologies, assumptions, model validation support)., • Master’s degree in Economics, Statistics, Mathematics, Data Science or a related quantitative discipline (PhD preferred, but not required). Preferred: • Experience in lending (personal loans or credit cards) or fintech lending environment., • Experience with credit risk modeling (development & monitoring), • Experience working with credit decisioning engines such as Oscilar, TakTile etc…, • Experience working in CKLightbox environment, • Experience working in the GCP environment., • A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team. Additional Information Achieve well-being with: • Hybrid and remote work opportunities, • 401 (k) with employer match, • Medical, dental, and vision with HSA and FSA options, • Competitive vacation and sick time off, as well as dedicated volunteer days, • Access to wellness support through Employee Assistance Program, Talkspace, and fitness discounts, • Up to $5,250 paid back to you on eligible education expenses, • Pet care discounts for your furry family members, • Financial support in times of hardship with our Achieve Care Fund Work from home/hybrid: We are proudly offering hybrid options in the Phoenix, AZ and San Francisco, CA metro market. We are offering 100% remote work in other approved locations. Salary Range: $150,000 to $185,000 salary + bonus + benefits. This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors. Join Achieve, change the future. At Achieve, we’re changing millions of lives. From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job—it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first. Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve’s Talent Acquisition leader.

Job Description Shift Weekday Overnight Rotated Holidays EDUCATION AND CERTIFICATION REQUIREMENT • Associates or Bachelor degree from an accredited college or university with major coursework in Medical Laboratory Science, microbiology, chemistry, biology or related field., • Certification as MLS, MLT, CLS, MT or equivalent by a national recognized accreditation agency such as ASCP, AMT, AAB., • Must meet CLIA requirements for testing personnel for High Complexity Testing Laboratory. RESPONSIBILITIES The ideal MLS/MLT candidate will be collaborative, detail-oriented and work effectively in a fast-paced environment. Responsible for ensuring that Clinical Laboratory Test(s) requested by physicians and facilities are performed in an accurate and timely manner and the Laboratory policies and procedures are followed and implemented correctly. • Follows the clinical laboratory’s procedures for specimen handling and processing analysis, reporting and maintaining records of patient test results., • Maintains records that demonstrate that proficiency testing samples are tested in the same manner as patient samples., • Adheres to the clinical laboratory’s quality control policies, documents all quality control activities instrument and procedural calibrations and maintenance performed., • Capable of identifying problems that may adversely affect test performance or reporting of test results., • Documents all corrective action taken when test systems deviate from the laboratory’s established performance specifications., • Performs all routine and new test procedures that are complex and require professional judgment when assigned to a specific area., • Demonstrates knowledge of theory behind the test performed., • Recognized departure from the norm on adult and geriatric patients and be able to understand the scientific and theoretical reasons for such deviation., • Calibrates instruments and assess the accuracy of the equipment; performs equipment preventive and corrective maintenance., • Check and verify all the test results released by the laboratory. This includes accepting or rejecting results due to delta check inconsistencies, requesting redraw for verification, canceling results due to gross hemolysis, clots or QNS., • Reviews outgoing reports for technical and clerical errors., • Able to communicate with nurses and physicians, and ability to work well with others., • Assist the Lead MLS/MLT in maintaining adequate supplies and inventory levels., • Demonstrates the ability to prioritize work duties., • Recognizes the administrative changes in staffing and scheduling and adapt to these changes., • Assists in developing and installing quality control standards to ensure accuracy of test results., • Preferred: 1 yr of clinical laboratory experience, • Have the necessary language reasoning and mathematical skills to follow and implement the laboratory policies and procedures approved by the Laboratory Director., • Ability to work independently and have good sound analytical judgment to function effectively under stress in certain situations., • Strong interpersonal skills sufficient to work closely with others on a team., • Possess the ability to work in a fast paced environment, effectively interacting with physicians, facilities and laboratory personnel., • Possess speed, consistency and accuracy in tasks to meet the laboratory standards., • Customer service oriented, • Self starter with a high initiative, a good problem and decision-maker., • Ability to demonstrate flexibility in work environment, performing a variety of changing tasks., • Commitment to tasks. Displaying a high level of cognitive, interpretive or judgment skills. Benefits: TridentCare offers a competitive wage and robust benefit package to full time employees. Part time employees are eligible for many of the same below, pro-rated. Benefits include: • Two weeks of vacation time, • Health Insurance after 30 days!, • Sick time, • 8 paid holidays, • Same day pay available, • Medical insurance allowance, giving you the freedom to customize your plan to fit your needs, • Dental insurance, • Vision insurance, • Disability insurance, • Company paid life insurance, • 401(k)

Job DescriptionBenefits: • 401(k), • Bonus based on performance, • Competitive salary, • Dental insurance, • Flexible schedule, • Health insurance, • Paid time off, • Parental leave, • Profit sharing This role will be responsible for providing technical and business skills and contribute to advanced solutions in the environmental, chemical, commercial, manufacturing, government, energy, financial, insurance, and/or legal sectors. This job is 100% remote. The candidate should have experience managing consulting assignments, must work effectively in multi-disciplinary teams, is expected to be proficient in the analysis and communication of information, and must be able to work cooperatively with agencies, organizations, and individuals to guide decision-making. The successful candidate is also expected to be proficient in all facets of project management. He/she must demonstrate collaboration with colleagues throughout the organization. Key Responsibilities include but are not limited to: Client Management & Communication: • Serve as the primary point of contact for clients and stakeholders, providing regular updates on project status and outcomes., • Collaborate with project teams, including environmental engineers, geologists, and technicians., • Interact and coordinate with regulatory agencies to obtain necessary approvals, permits, and closure documentation., • Prepare and submit comprehensive reports, including site investigation reports, risk assessment reports, remedial action plans, progress reports, and closure reports., • Develop and implement effective remediation plans based on the findings of site investigations and risk assessments., • Design and oversee the implementation of remediation strategies, which may include excavation, soil vapor extraction, groundwater treatment, in-situ bioremediation, or other appropriate methods., • Ensure compliance with all applicable regulations, guidelines, and permits during the remediation process.Insurance Claim Support, • Experience providing technical support to insurance claims professionals for environmental or energy related claims., • Understanding of insurance terminology and policy language., • Experience in assessing the source and timing of pollution events., • Diverse environmental consulting experience., • Excellent technical writing skills.Site Assessments:, • Manage/conduct comprehensive site investigations to identify potential sources of contamination, evaluate risks, and develop appropriate remediation strategies., • Collect soil, groundwater, and other environmental samples and analyze them in accordance with standard protocols and regulations., • Perform data interpretation, risk assessment, and modeling to determine the extent and nature of contamination and its potential impact on human health and the environment.Quality Control:, • Implement quality control and assurance measures to ensure accurate and reliable data collection, analysis, and reporting., • Conduct periodic audits and reviews of project activities to verify compliance with project plans and regulations., • Current PE or PG license, • Bachelors Degree in environmental science, geology, engineering, or a related field., • 10+ years experience conducting site investigations remediation and third party evaluations, • Solid understanding of environmental regulations, guidelines, and best practices related to contaminated site cleanup., • Excellent project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients, regulatory agencies, and project teams., • Attention to detail, critical thinking, and problem-solving abilities., • Knowledge of environmental sampling techniques and laboratory analysis methods. Founded in 1986, HETI is a full-service, nationwide environmental services company specializing in environmental and indoor air quality site assessment, site remediation, risk characterization, occupational health and safety services, and litigation/expert witness support. Through our network of offices throughout the U.S., we serve a variety of large and small businesses. We are an Equal Opportunity Employer and offer a competitive benefit package including base salary plus bonus opportunities and a friendly, flexible work environment. Flexible work from home options available.

Job Description The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support. KEY RESPONSIBILITIES • Developing and implementing data management strategies, • Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations., • Lead a team of database and Power BI developers, • Leverage Data Modeling and AI tools, • Managing data quality and accuracy, • Overseeing data storage and retrieval, • Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions, • Determine budgeting for staff and resources, • Gathering and verifying requirements, conducting unit testing and troubleshooting, • Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs, • Mentoring and training direct reports, • Ensure all data warehouse and operating procedures are fully documented and maintained, • Create and Automate reporting to support daily operational functions, • Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives., • Creating and presenting data visualizations, • Communicating business insights and project goals QUALIFICATIONS AND EXPERIENCE • Experience designing data management solutions for ecommerce, sales, accounting, and warehousing, • Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem., • Background in data warehouse design (e.g. dimensional modeling) and data mining, • Proven experience as a SQL Developer or Data Scientist, • Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity, • Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies., • Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts., • Strong project management acumen, • Strong technical documentation skills, • Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts., • Excellent written and oral communication skills; able to flex style based on the audience are required., • Well-developed interpersonal skills, • Able to manage multiple tasks simultaneously., • Highly self-motivated with ability to follow directed priorities., • Keen attention to detail, • Team-oriented and collaborative leadership EDUCATION REQUIREMENT Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field. BUSINESS HOURS • Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume., • On-call availability for resolving emergency issues from home.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will...- Own and pursue a research agenda to develop realistic and controllable simulation agents.- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Strong background in imitation learning and/or reinforcement learning.- Publications in top-tier conferences or journals related to machine learning or robotics.- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:- Experience in self-driving, traffic simulation, or a related field.- Proven ability to take research from prototype to production systems.- Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description MUST have a certification as a Technologist (MT) or Medical Laboratory Scientist (MLS) Medical Laboratory Scientist Lead – Nights (7-on/7-off) | North Texas Region Step into a leadership role where precision meets purpose—and your experience truly matters. A respected healthcare system in the North Texas region is seeking an experienced Medical Laboratory Scientist III to lead and support overnight lab operations on a 7-on/7-off night shift. This is an exciting opportunity for a certified MLS professional ready to take on more responsibility in a setting that values clinical excellence, collaboration, and work-life balance. You’ll work in a state-of-the-art facility with a team that’s as committed to supporting each other as they are to delivering accurate, life-saving diagnostics. $5,000 Sign-On Bonus available for new hires! Key Responsibilities • Perform and monitor a full range of laboratory tests in compliance with department protocols and regulatory standards, • Supervise or assist in managing nightly operations, providing guidance and mentorship to team members, • Maintain rigorous quality control and assurance processes, ensuring accurate and timely test reporting, • Perform instrument troubleshooting, calibration, and maintenance with minimal supervision, • Collaborate with interdisciplinary teams and external partners to support patient care coordination, • Maintain inventory, safety, and infection control standards, • Participate in ongoing educational activities and help train or orient new lab personnel Minimum Qualifications • Education: Bachelor’s degree in a related field OR 4+ years of relevant work experience beyond minimum qualifications, • Experience: Minimum 3 years of experience as a Medical Laboratory Scientist, including at least 1 year in a leadership or supervisory capacity, • Certification: Must hold a valid certification from one of the following:, • ASCP (American Society for Clinical Pathology), • AMT (American Medical Technologists), • ABHI (American Board of Histocompatibility), • AAB (American Association of Bioanalysts), • Grandfathered HEW licensee accepted Compensation & Benefits • Sign-On Bonus: $5,000 for qualified new hires, • Schedule: 7-on/7-off night shift (9:00 PM – 7:30 AM), • Health & Wellness: Immediate eligibility for medical, dental, and vision benefits, • Retirement: 401(k) plan with dollar-for-dollar match up to 5%, • Education: Tuition reimbursement for continued learning, • Time Off: PTO accrual begins on Day 1, • Other Perks: Employee wellness programs, career development opportunities, and internal mobility within a nationally recognized healthcare organization Note: Benefits may vary based on employment type and level. Ready to Lead the Night Shift? If you’re a seasoned lab professional with leadership experience and a passion for delivering accurate, timely results, we’d love to connect. Apply now to take your clinical career to the next level in a supportive, mission-driven environment.

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection,

Thumbtack helps millions of people confidently care for their homes.Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience.Every day in every county of the U.Thumbtack to complete urgent repairs, season

Synthesize large-scale, disparate datasets — including smart meter data, device telemetry, settlement data, and logs — to aid in increasing the impact of our VPP products and services. Renew Home is seeking a talented and self-driven Senior Data Scientist to join the growing Product Analytics te

This role will contribute to data-driven work focused on improving K–12 educational systems, including high-quality instruction and intervention, educator effectiveness, STEM education, and special education.The Data Scientist Associate will support projects by building data pipelines and cloud-ba

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 servi

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking, a solid grasp of machine learning principles, and the ability to apply core methodologies such as predictive modeling, econometric analysis, and time series forecasting. This position requires a collaborative mindset to work cross-functionally, ensuring the seamless integration of analytical insights into Lightcast's products and services. • Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets., • Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics., • Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends., • Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow., • Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences., • Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies., • Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field., • 2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems., • 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred)., • Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch., • Demonstrated ability to write clean, scalable code and independently prototype data solutions., • Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting., • Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows., • Strong statistical reasoning and ability to translate complex data into strategic business insights., • Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences., • Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred)., • Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred).

Our client, a trusted government contractor, is searching for a dedicated Data Scientist to support a high-impact U.This full-time role will provide technical expertise essential for maintaining mission-critical software and systems, contributing directly to the client's key objectives.An active or

Fusemachines is a leading AI strategy, talent, and education services provider.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-t

Collaborative Approach: Collaborate with data engineers, software developers, data analysts, and business stakeholders, to integrate data science solutions into existing systems and processes. As a member of the cross-disciplined Strategic Analytics team, the Data Scientist will play a crucial role

Proficiency in a high-level programming language such as Python, and experience with a mid-level language such as C. Python) and mid-level languages (e. Design, develop, and maintain modular software solutions that integrate with distributed data processing frameworks in Linux-based environments.

Title: Data Scientist Desired Location: US, REMOTE The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow. Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration. At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey! Your Mission We are looking for a Risk & Payments Intelligence Analyst to join our Risk & Fraud team. In this role, you will analyze data related to ACH transactions, ML risk scores, risk rules, decisioning systems, and vendor data to understand performance, surface emerging trends, and inform ongoing optimization of payment program decisions. This role focuses on portfolio and system level analysis rather than case-by-case transaction review or manual queues, and requires strong analytical judgment in ambiguous, data-constrained environments, including the evaluation of new data, analytical methods, and AI-assisted approaches as our risk capabilities evolve. Key Responsibilities · Analyze end-to-end ACH payment decisioning performance, including ML risk scores and risk rules, across approvals and losses. · Detect and analyze emerging trends in customer behavior, payment outcomes, and risk signals. · Evaluate how changes in strategies, data, or rules impact downstream decisioning and outcomes over time. · Independently define analytical questions, assemble datasets from multiple sources, and iterate toward insights without predefined reporting templates. · Use Python to perform exploratory data analysis, feature evaluation, cohort analysis, and experimentation across large ACH and risk datasets. · Develop repeatable analytical workflows and lightweight tooling in Python to accelerate insight generation and reduce manual analysis overhead. · Perform ad hoc analyses to evaluate the value and usefulness of new or existing data signals for risk decisioning. · Design analyses and reporting that support ongoing risk reviews, strategy discussions, and portfolio-level monitoring. · Explore and apply established and emerging analysis techniques to accelerate insight generation, trend detection, and decision support within regulated risk and payment datasets. · Partner with Risk, Product, and Relationship Management teams to inform strategy refinement and prioritization. · Communicate trends, findings, and recommendations clearly to internal stakeholders and, when applicable, external clients. · Work with large, imperfect, and regulated datasets to form actionable conclusions despite data gaps, latency, or attribution challenges. 3+ years of experience in payments risk, fraud analytics, or decisioning performance analysis within fintech, payments, or e-commerce. · Experience working with ACH or bank transfer payment data strongly preferred. · Strong SQL skills and experience working with large transactional datasets. · Strong Python skills for data analysis (e.g., pandas, notebooks), experimentation, and analytical automation. · Experience managing and analyzing data related to risk-based decision systems, or similar decisioning frameworks. · Ability to translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences. · Comfort operating in ambiguous environments with incomplete, delayed, or imperfect data. · Experience using AI-assisted tools or models for data analysis, pattern discovery, or insight generation is a plus. Working Language

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., • 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

Reports to: Head of Data Science.Location: Remote, but we will be strongly weighting applicants who are in or willing to move to Austin.Applications will be open through early April with an anticipated start date of April 20, 2026.Funga is a public benefit corporation harnessing forest fungal networ

Work with cloud data infrastructure (BigQuery, GCS, Dataproc) to query, transform, and analyze large datasets. Experience working with messy, real-world datasets (healthcare claims, EHR, insurance, government/public-use data, etc. Experience with survival analysis or longitudinal data methods.