Sr. Data Scientist (Hybrid) - 256898

Senior Data Scientist – Advanced Modeling & Simulation

Location: Bethesda, MD – Hybrid, 3 days onsite per week

Compensation: $180,000–$190,000 annually

Employment Type: Full-Time

We are seeking an experienced Senior Data Scientist to join a highly collaborative team focused on developing advanced analytical models that support complex healthcare operational challenges. This position is heavily focused on mathematical modeling, simulation, and model development rather than traditional data analysis, reporting, or dashboard development. The ideal candidate will bring a strong quantitative research background and experience applying advanced modeling techniques to real-world problems.

Experience with operations research, simulation modeling, optimization, or patient flow modeling is particularly valuable. The Senior Data Scientist will also serve as a technical mentor to junior data scientists while remaining highly hands-on in model development.

• Design, develop, validate, and refine advanced mathematical and statistical models to solve complex operational problems.
• Develop simulation and optimization models to evaluate system behavior, capacity, resource utilization, and operational performance.
• Apply operations research, statistical modeling, and computational techniques to complex healthcare and patient-flow challenges.
• Translate ambiguous business and operational problems into quantitative modeling frameworks.
• Analyze complex datasets to identify inputs, assumptions, constraints, and relationships required for model development.
• Evaluate model performance, conduct sensitivity analyses, and communicate findings and recommendations to technical and non-technical stakeholders.
• Collaborate with data scientists, technical teams, and organizational leadership to translate modeling results into actionable decisions.
• Mentor and provide technical guidance to two junior data scientists.
• Evaluate and incorporate emerging techniques, including generative AI and large language models, where appropriate.
• Contribute to the continued development of modeling methodologies, technical standards, and best practices across the team.

• PhD in Engineering, Mathematics, Operations Research, Applied Mathematics, Statistics, Industrial Engineering, Systems Engineering, or a closely related quantitative discipline.
• Approximately 7–15 years of professional experience in advanced modeling, simulation, operations research, applied data science, or a related quantitative field.
• Demonstrated experience building sophisticated mathematical, statistical, simulation, or optimization models.
• Strong understanding of model development, validation, testing, and interpretation.
• Ability to translate complex real-world problems into quantitative models and analytical solutions.
• Strong programming and computational problem-solving capabilities.
• Experience communicating sophisticated quantitative concepts to both technical and non-technical audiences.
• Ability to work onsite in Bethesda, Maryland three days per week.

• Background in operations research, discrete-event simulation, optimization, systems modeling, or similar disciplines.
• Experience developing models related to patient flow, healthcare operations, capacity planning, resource allocation, scheduling, or operational efficiency.
• Previous experience working within healthcare, health systems, or other complex operational environments.
• Experience mentoring or providing technical leadership to junior data scientists or quantitative researchers.
• Exposure to large language models (LLMs), generative AI, or other emerging AI technologies.
• Ability and interest in quickly learning and applying new modeling and AI methodologies.