Director, Data Science
Core
Lead the design, development, validation, and deployment of statistical models, predictive analytics, and machine learning solutions for pharmaceutical and healthcare clients to inform marketing strategy and audience engagement.
Role type
Director, Applied Data Science (Technical Lead)
Builds
Privacy-compliant, data-driven analytics solutions for client engagements
Domain
Healthcare / Pharmaceutical / Marketing Analytics
Deliverable
production ML models
Required skills
Statistical modeling, Machine learning, Predictive analytics, Experimental design, Marketing mix modeling (MMM), Multi-touch attribution, Data visualization, Python, R, SQL, Cloud platforms (Azure, Databricks, Snowflake, AWS)
Preferred skills
Healthcare data experience (HCP/NPI, claims, prescription), Privacy-safe environments (clean rooms, HIPAA), Mentoring junior team members
Technologies
Python, R, SQL, Azure, Databricks, Snowflake, AWS
Responsibilities
Lead design and deployment of ML solutions; Partner with stakeholders to translate business objectives into analytical approaches; Analyze complex healthcare datasets for segmentation and targeting; Apply media measurement methodologies to evaluate campaign effectiveness; Develop dashboards and visualizations for strategic recommendations; Drive automation of analyses and model monitoring; Mentor Data Scientists and Analysts.
Seniority
Director, Technical Lead & Mentorship
