Decision Principal Data Scientist

Decision Principal Data Scientist • Contract to Hire • Location: United States (Remote flexibility) Compensation: $70–$85 per hour Duration: 6-month contract with potential for full-time conversion About the Role We are supporting a healthcare technology organization in their search for a Decision Data Scientist. This role focuses on turning clinical, operational, and patient engagement data into actionable insights that drive decision-making across the business. You will work closely with cross-functional teams to develop models and frameworks that improve patient outcomes, medication adherence, and overall cost of care. Key Responsibilities • Build predictive and prescriptive models to optimize patient outreach, prioritization, and care outcomes • Develop analytical frameworks to measure the impact of interventions on cost, experience, and performance • Apply statistical modeling, experimentation, and causal inference techniques to evaluate effectiveness • Create dashboards and data tools to support operational and clinical teams • Partner with engineering to integrate models into production systems and workflows • Analyze performance metrics across providers and payors to identify improvement opportunities • Present insights and recommendations to both technical and non-technical stakeholders Qualifications • Master’s or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or related discipline • 8+ years of experience in data science, analytics, or decision science • Strong proficiency in Python or R, along with SQL • Experience with statistical modeling, machine learning, and experimentation methods • Ability to translate complex data into clear, actionable insights Preferred Experience • Background in healthcare, pharmacy services, or value-based care • Experience working with patient data, adherence models, or population health analytics • Familiarity with cloud platforms and deploying models into production environments If you are interested in learning more, feel free to reach out directly or apply here.