Senior Data Scientist

Position Summary The Senior Data Scientist is a highly skilled individual contributor responsible for leading advanced statistical and machine learning initiatives to solve complex business challenges using large-scale healthcare data. This role owns the end-to-end analytical process, including designing modeling approaches, developing and validating models, and translating business questions into technical solutions. The Senior Data Scientist partners closely with data engineering and cross-functional teams to operationalize models and ensure their performance and scalability in production environments. Success in this role requires strong technical judgment, the ability to communicate insights to diverse stakeholders, and a commitment to analytical rigor and reproducibility. The Senior Data Scientist is a full-time, remote, exempt position and reports to the Sr. Director, Data Science & Advanced Analytics. Specific Responsibilities Lead the development, validation, and refinement of advanced statistical and machine learning models for complex business problems. Serve as the primary analytical owner for assigned initiatives, with accountability for model quality, analytical rigor, and timely delivery of results. Design analytical approaches and modeling strategies, translating business questions into well-defined technical solutions. Perform advanced feature engineering, exploratory data analysis, and model evaluation using large, complex healthcare datasets. Partner with Data Engineering and Information Systems teams to translate modeling approaches into production-ready solutions, while engineering teams own deployment and operations. Support production models through performance analysis, monitoring, and retraining activities. Design and execute experiments to test hypotheses and measure the impact of analytical solutions. Evaluate new data sources and assess their suitability, quality, and limitations for modeling and analysis. Communicate analytical findings, model behavior, and key assumptions to stakeholders with varying levels of technical expertise. Document analytical methods, decisions, and results to support reproducibility and knowledge sharing. Provide peer-level technical guidance and code review to Data Scientists and Analysts, supporting their development without formal leadership responsibility. Contribute reusable code, features, and analytical assets to shared repositories and team standards. Skills Advanced proficiency in Python, R, and SQL for statistical analysis, modeling, and feature engineering. Strong hands-on experience with statistical and machine learning techniques, including regression/GLM, tree-based methods, boosting, clustering, and basic text analytics. Proven experience developing, validating, and tuning models for real-world use cases. Experience supporting models in production environments, including collaboration with engineers on deployment and monitoring. Solid understanding of model evaluation, experimental design, and performance metrics. Strong data wrangling skills and experience working with large, complex datasets. Ability to create clear, compelling data visualizations and analytical narratives using tools such as Power BI, Tableau, or R/Shiny. Ability to translate business problems into analytical approaches with limited guidance. Strong written and verbal communication skills for working effectively with cross- functional stakeholders. Experience following best practices for reproducible research, version control, and documentation. Ability to provide constructive peer feedback and informal mentorship. Demonstrated curiosity and willingness to learn new tools, methods, and domains. Education & Experience 4–7 years of experience building statistical or machine learning models using large datasets Advanced degree in Computer Science, Engineering or relevant field; PhD in Data Science or another quantitative field is preferred. Who We Are DataSpring is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence. What You Get At DataSpring, you will do meaningful work at the intersection of healthcare, data, and technology, helping solve complex problems that make the healthcare system work better. You will collaborate with experienced professionals who care deeply about accuracy, trust, and meaningful impact in a fully remote environment. DataSpring offers competitive compensation and a comprehensive benefits package for full-time employees, including medical, dental, and vision coverage, a 401(k) with company contributions and matching, paid parental leave, tuition assistance, and generous paid time off. We are committed to investing in our people and supporting professional growth over time. Equal Opportunity Employer DataSpring is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered. Employment decisions at DataSpring are made without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, source of income, place of residence, or any other characteristic protected by law. DataSpring does not tolerate unlawful discrimination or harassment of any kind. Applicants have rights under the Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection Act (EPPA). If you need a reasonable accommodation to apply for a posted position, please contact the DataSpring People & Culture team at [email protected] or 202-517-0436. Apply To This Job