Data Science Manager

Thrive | What you can expect

Basic Qualifications

• 7 years of hands-on experience in predictive modeling, machine learning, and commercial analytics
• Demonstrated experience building predictive models for customer targeting, scoring, prioritization, and segmentation.
• Strong programming skills in Python and SQL, with experience working in Databricks, PySpark, or similar big data environments.
• Strong understanding of feature engineering, model validation, model performance evaluation, explainability, and business translation.
• Ability to convert ambiguous commercial questions into structured analytics problems, modeling approaches, and actionable recommendations.
• Experience with explainable ML techniques and the ability to communicate key model drivers to non-technical business stakeholders.
• Strong ownership mindset, structured problem-solving ability, and bias toward action in a fast-paced business environment.

Preferred Qualifications

• Experience in life sciences, pharma, biotech, or regulated healthcare analytics environments.
• Experience working with large-scale healthcare and commercial datasets, such as claims, EMR, lab, Rx, patient longitudinal data, CRM activity, sales, call activity, and digital engagement data.
• Deep understanding of HCP analytics, including targeting, prioritization, segmentation, field force optimization, omnichannel engagement, patient opportunity sizing, and treatment journey analytics.
• Experience working with IT teams to deploy models into production or business workflows
• Exposure to advanced methods such as uplift modeling, causal inference, graph/network analytics, and reinforcement learning, in commercial data science.