- Location
- Princeton, New Jersey, United States · published · Lawrenceville, Pennsylvania, United States
- Type
- Full-time
- Department
- IT
- Seniority
- Lead
- Source
- Workable
Description
Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it
We are looking for a Lead Data Scientist with strong experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The ideal candidate will have hands-on experience working with US claims and real-world data (RWD) to develop predictive models, generate actionable insights, and optimize HCP engagement and commercial strategies.
The role requires strong technical expertise, leadership capabilities, and the ability to work directly with clients and present analytical findings 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 to drive next-best-action recommendations and multichannel engagement strategies.
- Design and evaluate experiments, including holdout groups and lift measurement, to assess the effectiveness of commercial campaigns.
- 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.