Senior Data Scientist – Healthcare, Causal Inference, Experimentation

Job Description:

• Analyze large-scale healthcare datasets (medical & pharmacy claims, EHR, labs, SDOH)
• Design and execute real-world evidence (RWE) studies
• Apply statistical and quasi-experimental methods to evaluate intervention impact
• Develop predictive and analytical models to support population health strategies
• Analyze patient journeys, care patterns, and provider networks
• Identify healthcare disparities and access barriers
• Translate analyses into actionable insights for stakeholders

Requirements:

• At least 2 years of experience working with healthcare datasets such as medical & pharmacy claims, EHR, labs, or SDOH.
• 3+ years of hands-on experience applying statistics including hypothesis testing, regression modeling, and causal analysis.
• Strong experience applying cohort analysis and quasi-experimental methods to evaluate intervention impact.
• Strong proficiency in SQL for large-scale data analysis and Python or R for statistics modeling.
• Ability to translate complex statistical analyses into actionable insights for business stakeholders.
• Strong understanding of metrics, experiment frameworks, and performance measurement.
• At least 3 years of work experience with A/B Testing
• At least 5 years of work experience with SQL
• At least 3 years of work experience with Hypothesis Testing

Benefits:

• For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits