Senior Data Scientist

Overview

Who We Are

Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve healthand reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we’re shaping a healthier, more engaged future.

Role Summary

We are seeking a Senior Data Scientist to jointhe Enterprise Reporting and Analytics team within thelarger

Transformation Managementorganizationin Personify Health. This role focuses on advanced analytics, machine learning, and data-driven insights toshowcasemember outcomes,evaluate member engagement, andidentifycost management areas. The ideal candidate will haveexpertisein health data, statistical analysis, and predictive modeling to enhance both well-being engagement and benefits administration, as well as a passion for improving the health and wellbeing of our clients’ employees.

The role requires a self-directeddatascientist with strong skills in data modeling, analysis, and visualization to execute projects from start to finish. Responsibilities include building datasets, conducting analysis, creating reports, and communicating findings to stakeholders. The candidate must thrive in a fast-paced, collaborative environment,demonstratea commitment to continuous learning and leadership, andpossessexcellent interpersonal skills.

What You'll Actually Do

• Data Analysis & Modeling: Design, conduct, and manage new analytical projects, starting with project planning, hypothesis development, and data gathering, then to analysis and modeling, and through to communications and recommendations.
• Research & Evaluation: Leverage existing studies, literature, and analyses into current research and analysis projects.
• Risk Stratification: Design risk models to assess member health risks and recommend proactive interventions for cost savings and better health outcomes through care recommendations.
• Delivery of Results: Build presentations, reports and dashboards that translate complex data into actionable insights for decision-making.
• Data Engineering & Integration: Work with data engineering and data development teams to optimize data pipelines, ensure data quality, and integrate diverse health datasets.
• Regulatory & Compliance Analysis: Ensure models comply with HIPAA, CMS, and other regulatory guidelines while supporting analytical insights and reporting.
• Collaboration & Leadership: Partner with operational and client teams to present results and to drive data-driven strategies and mentor junior data scientists.

What You Bring to Our Mission

• Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or related field.
• 5-7+ years of experience in data science, with a strong focus on health data, claims analytics, or health insurance. A history of increasing responsibilities is a plus.
• Proven experience coding in either SQL and Python or R;
  Python preferred.
• Experience with health data risk models, and program evaluation statistical methodologies such as propensity score matching and difference in differences analyses.
• Troubleshoot and perform data audits to ensure and improve data integrity; investigate and resolve data discrepancies.
• Familiarity with predictive modeling, AI/ML algorithms, and working with large datasets.
• Understanding of healthcare regulations (HIPAA, ACA, CMS rules) (preferred).
• Strong problem-solving and communication skills with the ability to translate technical findings into business strategies.
• Employee health management/health engagement industry preferred.
• Knowledge of data visualization tools preferred (i.e., Micro Strategy, R: Shiny, ggplot2).
• Experience in managing medium and large-scale analytics projects from end to end.

Nice to Have (not required)

• Knowledge of care-based models, population health analytics, and clinical care management programs.
• Exposure to TPA operations, self-funded insurance models, and employer-sponsored health plans and digital wellbeing solutions.

We…