Sr. Data Scientist

Overview

Senior Data Scientist role focused on building predictive models and analytics for healthcare professional (HCP) targeting, prioritization, segmentation, and commercial decision-making.

What you'll do

• Build and maintain models to identify and prioritize HCPs.
• Provide technical guidance and mentorship to data scientists.
• Apply best practices in feature engineering, model development, validation, and measurement.
• Partner with brand, sales, operations, analytics, engineering, and technology teams.
• Ensure models are business-relevant, scalable, explainable, and deployable.
• Translate model outputs into actionable business recommendations.

What you'll need

• At least 7 years of experience in predictive modeling, machine learning, and commercial analytics.
• Experience building models for customer targeting, scoring, prioritization, and segmentation.
• Strong Python and SQL programming skills.
• Experience with Databricks, PySpark, or similar big-data environments.
• Knowledge of feature engineering, model validation, performance evaluation, explainability, and business translation.
• Ability to communicate model drivers to non-technical stakeholders.

Nice to have

• Experience in life sciences, pharma, biotech, or regulated healthcare analytics.
• Experience with large-scale healthcare and commercial datasets.
• Deep HCP analytics knowledge.
• Experience deploying models into production or business workflows.
• Exposure to uplift modeling, causal inference, graph/network analytics, or reinforcement learning.

Details

• Location: Hyderabad, India.