Principal Data Scientist - Pharma Commercial Analytics

Tiger Analytics • Princeton, NJ

13h

About The Position

Tiger Analytics is seeking a data science leader with experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The role focuses on using US healthcare claims and real-world data (RWD) to build predictive models, generate actionable insights, and improve HCP engagement and commercial strategies. It combines hands-on technical work with leadership of a client-facing data science team, collaboration with cross-functional partners, and presentations of analytical findings and recommendations to senior stakeholders.

Requirements

• Strong experience in pharmaceutical commercial analytics and healthcare data science.
• Hands-on experience with US healthcare claims and real-world data, using platforms or providers such as IQVIA, Komodo Health, or PurpleLab.
• Experience with Veeva CRM data and pharmaceutical promotional data.
• Expertise in patient-level and HCP-level modeling, including patient identification, treatment switching, and persistence.
• Experience developing next-best-action models and multichannel analytics solutions.
• Strong knowledge of experimental design, holdout strategies, and campaign lift measurement.
• Proficiency in Python and SQL, with experience using Databricks or Snowflake.
• Experience with gradient boosting techniques and explainable AI methods such as SHAP.
• Proven ability to lead data science teams, manage client relationships, and communicate insights to senior stakeholders.

Responsibilities

• Develop patient- and HCP-level models to support patient identification, treatment switching, and therapy persistence.
• Build predictive models and analytics solutions for next-best-action recommendations and multichannel engagement strategies.
• Design and evaluate experiments, including holdout groups and lift measurement, to assess commercial campaign effectiveness.
• Apply explainable machine learning techniques, including gradient boosting and SHAP, to improve model transparency and interpretability.
• Analyze US healthcare claims, real-world data (RWD), CRM, and promotional data to generate actionable business insights.
• Work with large datasets using Python, SQL, and platforms such as Databricks or Snowflake.
• Lead a client-facing data science team, ensuring high-quality delivery and alignment with business objectives.
• Present analytical findings, model outcomes, and strategic recommendations to brand leadership and other senior stakeholders.
• Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.

Benefits

• Significant career development opportunities as the company grows.
• Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed