This page tracks remote data scientist openings that are location-eligible for Washington.
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Inspiring curiosity about the world's hidden wonders through storytelling and experiences.
• Own the product and build side of Atlas Intelligence • Lead the product roadmap as it scales from launch to multi-client deployment • Translate AI-search data into client-facing insights • Define the metrics, visualizations, and reporting • Partner with engineering on infrastructure handoff and ongoing build • Work directly with clients to understand their needs
IT & Engineering for a better tomorrow.
• Ensure master data is AI‑ready, supporting machine learning, analytics, and Generative AI use cases. • Collaborate with Data Science and AI teams to: Define training‑data requirements, Prevent bias and duplication in AI inputs, Improve feature quality through high‑quality master data, Implement AI‑assisted data matching, classification, and enrichment where applicable. • Support explainability, lineage, and traceability requirements for AI and ML models. • Enable natural‑language and AI‑driven access to master data for analytics and decision support platforms. • Work closely with MDM platforms and tools. Define and oversee integration patterns between MDM, ERP, CRM, data platforms, and AI pipelines. • Collaborate with data engineering teams on cloud‑based data platforms, APIs, and automation workflows. • Ensure master data availability and consistency across operational, reporting, and AI systems. • Lead and mentor Master Data Stewards and Analysts. • Act as a key stakeholder in enterprise Data & AI initiatives. • Drive organizational adoption of data governance and AI‑driven data quality practices. Communicate MDM and AI value clearly to technical and non‑technical stakeholders.
Role Description Advanced Technologies & Laboratories International, Inc. (ATL) is hiring a Senior Engineer/Scientist – (statistician- NFR) with a PhD or ScD in statistics and experience with occupational safety & health research, including statistical/coding and database software such as SAS, R, Python, MS SQL or Dataverse. - Provide expert methodological and epidemiological advice on data analysis and serve as the primary data science resource among those individuals provided by the contract. - Provide assistance in developing job exposure matrices which takes into account uncertainty from expert assessments. - Identifies appropriate analytical methods or statistical programs to address study objectives. - Verifies, cleans, edits, and converts data to the proper format, as needed, to ensure that it is suitable for proposed analysis. - Provides statistical programming to achieve statistical objectives or required data manipulation. - Constructs statistical models and graphics, and uses statistical methods/techniques, as needed, to evaluate study hypotheses. - Prepares rigorous, statistically sound analyses for manuscripts intended for publication in peer-reviewed journals or CDC publications that rarely require further validation. - Manuscript preparation in collaboration with NIOSH scientists. Qualifications - PhD or ScD Requirements - MS Office (Word, Excel, Powerpoint, Outlook) - Communication tools (Teams, SharePoint) Benefits - Competitive total compensation package that includes paid leave. - Options for employer sponsored group medical, dental, vision, short-term and long-term disability, life insurance, AD&D coverage, legal services, identity theft, and accident insurance. - Flexible spending account and health saving account options offer pre-tax savings for qualified medical, dental, and vision expenses. - Company sponsored 401(k) retirement plan with an employer contribution match that is immediately vested. - Investment in the professional growth of employees through professional courses, certifications, and tuition reimbursement programs.
Bringing our heart to every moment of your health.
Role Description CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Our teams build next-generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers. The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data and analytics to become the leader in consumer healthcare in the U.S. As a Data Scientist - Clinical Informatics (Analytics Enablement), you are tasked with activating CVS Health's clinical data repository to improve outcomes across multiple lines of business and use cases. You will serve as a bridge between clinical data assets and the analysts, data scientists, and business partners who consume them—ensuring data is accessible, well-documented, fit for purpose, and aligned with clinical and regulatory standards. - Become a subject matter expert in clinical data, including CCD data, claims, pharmacy, lab results, and clinical documentation, with a deep understanding of how to structure and apply this data to solve healthcare problems. - Help build the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases. - Develop analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data. - Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets. - Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders. - Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data. - Collaborate with data engineering teams to inform data pipeline development, ensuring clinical data is ingested, transformed, and stored in ways that support downstream analytics needs. - Learn data governance practices, including compliance with HIPAA, data privacy regulations, and internal data stewardship policies. - Stay current with clinical data standards (HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm) and industry best practices in clinical informatics. Qualifications - 2+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management. - Familiar with clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data. - Knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm. - Ability to support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support. - Proficiency with SQL and experience working with large-scale healthcare datasets. - Familiar using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data. - Understanding of data quality principles, including validation, profiling, and monitoring of healthcare data. - Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences. Requirements - Proven experience integrating clinical (CCD/OMOP/FHIR) and administrative (claims) data into unified, patient-centric data models, with deep understanding of the strengths, limitations, and complementary nature of each data type. - Experience with patient data normalization & standardization for patient attributes and cross source harmonization. - Hands-on experience reconciling clinical and claims data, including diagnosis alignment, medication reconciliation (prescribed vs. dispensed), and encounter/visit matching. - Experience integrating third-party and enrichment data sources, including SDOH indices (ADI, SVI), consumer/demographic data, mortality data, and provider reference data into patient-level datasets. - Expert knowledge of clinical and administrative coding systems, including ICD-10-CM/PCS, CPT/HCPCS, SNOMED-CT, RxNorm, NDC, LOINC, and NPI. - Experience with classification and grouping systems such as HCC, CCS, DRG, and therapeutic class hierarchies. - Experience designing patient-centric data models, feature stores, and dashboards that aggregate longitudinal data across sources, including demographics, encounters, conditions, medications, labs, utilization, cost, and enrichment attributes. - Proven ability to enable downstream data consumers through analytics and well-documented, validated, and reusable data assets, with experience creating data dictionaries, lineage documentation, and self-service analytics layers. - Understanding of healthcare business contexts such as care management, value-based care, quality measurement (HEDIS, Stars), and population health. Education - Bachelor’s degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related quantitative or clinical field—or an equivalent combination of formal education and experience. - Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, or a related field is strongly preferred. - Clinical background (RN, PharmD, MD, or similar) with transition into informatics/analytics is highly valued. Benefits - Comprehensive and competitive mix of pay and benefits. - Medical, dental, and vision coverage. - Paid time off. - Retirement savings options. - Wellness programs and other resources, based on eligibility.
Role Description CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses. The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data and analytics to become the leader in consumer healthcare in the U.S. As a Data Scientist - Clinical AI, you are tasked with activating CVS Health's clinical data repository to improve outcomes across multiple lines of business and use cases. You will serve as a bridge between clinical data assets and the analysts, data scientists, and business partners who consume them—ensuring data is accessible, well-documented, fit for purpose, and aligned with clinical and regulatory standards. - Extract signal from unstructured clinical text. - Apply NLP and language model techniques to clinical notes, CCD documents, and other free-text clinical data to generate structured, actionable features for downstream analytics and predictive models. - Build and fine-tune Small Language Models (SLMs). - Design, train, and evaluate domain-specific SLMs tailored to clinical use cases — balancing performance, cost, latency, and compliance requirements. - Utilize LLMs where applicable. - Leverage large language models where they add clear value (e.g., training data creation, entity extraction, zero-shot classification) while knowing when traditional ML, rules-based approaches, or simpler statistical methods are the right tool for the job. - Develop predictive analytics solutions. - Build and validate predictive models using both classical ML (gradient boosting, logistic regression, survival analysis) and modern deep learning approaches to support clinical decision-making and population health initiatives. - Conduct rigorous Exploratory Data Analysis (EDA). - Deeply explore clinical datasets — structured and unstructured — to uncover patterns, assess data quality, identify feature candidates, and inform modeling strategy before jumping to solutions. - Communicate findings clearly. - Present methodology, results, and recommendations to technical and non-technical stakeholders through well-crafted visualizations, notebooks, and presentations. - Translate complex AI/ML concepts into language that clinical and business partners can act on. - Collaborate across teams. - Work with machine learning engineers, data engineers, clinical informaticists, and business partners to ensure clinical data pipelines support AI/ML workflows and that model outputs are integrated into products and decision-making processes. - Stay current and stay curious. - Continuously evaluate emerging techniques in NLP, foundation models, and clinical AI. Bring new ideas to the team, prototype rapidly, and advocate for approaches grounded in evidence rather than hype. - Uphold data governance standards. - Ensure all work complies with HIPAA, data privacy regulations, and internal data stewardship policies, particularly when handling PHI and unstructured clinical text. Qualifications - 2+ years of experience in data science, machine learning, or applied NLP — preferably in healthcare or a similarly regulated domain. - Hands-on experience with NLP — text preprocessing, tokenization, named entity recognition (NER), text classification, topic modeling, or similar techniques applied to real-world unstructured data. - Practical experience with LLMs and/or SLMs — prompt engineering, fine-tuning, RAG architectures, evaluation frameworks, or deploying language models in production or research settings. - Strong foundation in traditional machine learning — supervised and unsupervised methods, feature engineering, model selection, cross-validation, and performance evaluation. - Best coding practices – you use version control (Git/Github), commit your work regularly, write clean and reproducible code, and understand that well-organized repositories are as important as well-built models. - Deep EDA skills — ability to systematically explore datasets, identify data quality issues, surface insights, and make informed decisions about modeling approach before writing a single line of model code. - Proficiency in Python (pandas, scikit-learn, PyTorch or TensorFlow, Hugging Face Transformers) and SQL for working with large-scale healthcare datasets. - Experience with cloud-based data and ML platforms, preferably Google Cloud Platform (GCP) — BigQuery, Vertex AI, or equivalent. - Excellent presentation and communication skills — you can stand in front of a room and clearly explain what you built, why you built it that way, and what it means for the business. - Judgment and common sense — you understand that not every problem needs an LLM, you meet your deadlines, you ask for help when you're stuck, and you don't over-engineer solutions. - A genuine curiosity and desire to learn — you read papers, you try new tools, you ask "why," and you're energized by problems you haven't solved before. - You know when a rabbit hole is worth diving into and when to pull back, stay focused, and deliver. Requirements - Experience working with clinical text data — clinical notes, discharge summaries, pathology reports, or similar unstructured healthcare documents. - Knowledge of clinical coding systems and terminologies (ICD-10, SNOMED-CT, LOINC, RxNorm, CPT, NDC, UMLS) and their relevance to NLP pipelines. - Familiarity with clinical data standards (HL7, FHIR, CCD/C-CDA) and common data models (e.g., OMOP). - Experience building or contributing to clinical NLP pipelines — entity extraction, relation extraction, negation detection, or section segmentation from clinical narratives. - Experience with model evaluation in clinical contexts — understanding of sensitivity/specificity tradeoffs, clinical validation, and responsible AI practices in healthcare. - Familiarity with MLOps practices — model versioning, experiment tracking, CI/CD for ML, model monitoring. - Experience working directly with clinical stakeholders (physicians, nurses, clinical operation teams, etc.) and tailoring presentations, findings, and recommendations to the appropriate audience level – from executive summaries for leadership to detailed methodology reviews for technical notes. - Privacy, security, and compliance experience: HIPAA/HITRUST, de-identification/tokenization, PHI handling. Education - Bachelor’s degree in health informatics, biostatistics, computer science, data science, mathematics, biomedical informatics, or related — or an equivalent combination of formal education and experience. - Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, Data Science or a related field is a plus – but not a substitute for demonstrated ability to ship real-world solutions. - Clinical background (RN, PharmD, MD, or similar) with transition into data science or AI is a genuine differentiator for this role. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $79,310.00 - $158,620.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. - Medical, dental, and vision coverage. - Paid time off. - Retirement savings options. - Wellness programs and other resources, based on eligibility.
All candidates must meet the following criteria: Must be a US Citizen, no dual Citizenships. Must be able to secure a Public trust clearance. Must be able to work across multiple programs across the Federal and DOD space. The core values that ECS looks for in an engagement manager include: Teamwork, Respect, Accountability, Integrity, and Leadership.
Role Description Everforth ECS is seeking a Sr. Data Scientist to join our team remotely. This position is contingent upon contract award. Are you passionate about building intelligent search and retrieval systems and applying GenAI to solve real-world data challenges? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes. We are seeking a Sr. Data Scientist focused on Search, RAG, and GenAI to support ECS’s Professional Services. The ideal candidate enjoys working at the intersection of data science, search relevance, and large language models (LLMs), collaborating with customers and internal teams to deliver intelligent, high-impact solutions. You will play a key role in shaping search architectures, advising on best practices, and applying advanced AI techniques to enterprise-scale data sets. This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases. Key Responsibilities - Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques. - Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. - Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies. - Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall. - Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases. - Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows. - Provide strategic recommendations to improve search performance, result explainability, and overall user experience. - Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques. - Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval. - Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies. Qualifications - Hands-on experience applying Elasticsearch to search, analytics, or data science use cases. - Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization. - Experience working with data science or AI-driven solutions in enterprise environments. - Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP). - Ability to translate complex technical concepts into clear guidance for customers and stakeholders. - Strong analytical, problem-solving, and communication skills. - Willingness and ability to travel to customer sites as needed. - Must be a U.S. Citizen and have an active TS/SCI U.S. Security Clearance. - Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience). Requirements - Salary Range: $180,000 - $200,000
Instacart invites the world to share love through food. This is how homemade is made.
Role Description We're transforming the grocery industry. At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We’re hiring a Senior People Data Scientist (L5) to serve as an enterprise-wide people analytics thought partner—blending data engineering, analytics, consulting, and data product ownership. You will own complex, multi-quarter analytical workstreams, shape company-level people metrics, and help leaders at all levels use data to make better, more equitable decisions about our workforce. This is a high-visibility IC role with significant exposure to senior HR and business leaders, ideal for someone who is equally comfortable in Snowflake, extracting insights from employee data, executive-level storytelling, and in shaping how HR and business leaders across Instacart use data at scale. Qualifications - 5+ years of experience in analytics, data science, business intelligence, or a closely related field, with at least 2–3+ years in People Analytics / HR data (HCM, recruiting, comp, retention, DEI, engagement, or workforce planning). - Bachelor’s degree in a quantitative or relevant field (e.g., Statistics, Economics, Data Science, Industrial/Organizational Psychology, Computer Science) or equivalent practical experience. Requirements - Experience designing and maintaining executive-facing dashboards and data products in a BI tool (e.g., OneModel, Tableau, Looker), including metric design, documentation, and stakeholder enablement/training. - Advanced proficiency in SQL and experience with a modern cloud data warehouse such as Snowflake, including working with large, complex datasets, performance-tuned queries, building data pipelines, and developing analytics-ready models. - Demonstrated ability to translate complex analytical findings into clear stories and actionable insights for HR/business leaders, including writing talking points and delivering live presentations. - Demonstrated expertise in multivariate analysis, including the design and interpretation of regression models, comparison testing, and natural language processing techniques applied to large-scale text data. - Strong foundation in research methodology and psychometrics, with the ability to design, validate, and interpret survey instruments and other qualitative measures with rigor. - Experience handling sensitive HR data with strong judgment around privacy, security, and role-based access controls. Benefits - Highly market-competitive compensation and benefits in each location where our employees work. - Remote work flexibility with a base pay range dependent on permanent work location. - Eligibility for a new hire equity grant as well as annual refresh grants. Company Description Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team, allowing employees to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.
• Identify deficiencies in risk segmentation and build predictive models (GLMs, GBMs, etc.) to support rating revisions. • Develop models to assess the impact of pricing changes on conversion, churn, and profitability. • Revise rating for territories and breed groups using modern machine learning approaches. • Review pricing for limits and copays using traditional increased limit and deductible discount factors. • Forecast key financial metrics such as policyholder churn, written premium, and claim volumes. • Write SQL queries to support ad hoc data requests from stakeholders across the business and support pricing datasets. • Estimate impact of coverage and product changes on pricing. • Support rate indications and regulatory filings as needed. • Other duties as assigned.
Apex Systems, an IT staffing and workforce solutions firm, provides recruiting and staffing services to large and small companies alike. Founded in 1995 by thre
Senior Data Scientist Location: Remote Job Description: Job#: 3034655 Employment Type: Contract Duration: 7 months Role Overview We are seeking a skilled Senior Data Scientist to support the development and optimization of advanced machine learning models focused on large-scale text analysis. This role offers the opportunity to work on impactful, real-world applications in a collaborative environment. This is a contract-to-hire opportunity, and candidates must be eligible for full-time conversion. Key Responsibilities - Train, fine-tune, and evaluate deep learning models, with a focus on NLP and transformer-based architectures. - Process, clean, and analyze large-scale structured and unstructured text datasets. - Troubleshoot model performance, optimize hyperparameters, and improve training pipelines. - Run experiments and clearly document findings, results, and recommendations. - Deploy and maintain models within a cloud-based (AWS) environment using established workflows. - Collaborate with technical leads and cross-functional stakeholders while operating independently on day-to-day execution. Required Qualifications - Python programming experience, including hands-on work with PyTorch and transformer-based models. - Experience building, training, and debugging deep learning models for text-based applications. - Understanding of machine learning fundamentals, statistics, and exploratory data analysis. - Experience working in AWS environments and using GitHub-based workflows. - Communication skills and ability to operate independently. Preferred Qualifications - Experience with large language models (LLMs), prompt engineering, or emerging AI approaches. - Familiarity with PySpark or large-scale data processing frameworks. - Experience with MLOps tools and experiment tracking platforms. - Exposure to healthcare, life sciences, or other regulated environments. Compensation & Benefits The pay rate for this position is between $65.00 and $70.00 per hour. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and experience. This employer 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, or protected veteran status and will not be discriminated against on the basis of disability. a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Employee Type: Contract Remote: Yes Pay Range: $65 - $70 per hour
Customer.io helps companies communicate with their customers in a more authentic and human way. Its versatile marketing automation platform helps “bring human
• Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention. • Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition. • Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends. • Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios. • Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics. • Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.
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Python, SQL, AI, AI/ML, GCP, BigQuery
