Tiger Analytics

Delivers Data and AI transformation

Principal Data Scientist - Pharma Commercial Analytics

Data ScienceConfirmed live in the last 24 hours

Full-timePrinceton, NJ, USANo salary listedHybrid

About the Job

Requirements

Strong experience in pharmaceutical commercial analytics and healthcare data science.
Hands-on experience working with United States healthcare claims and real-world data, using platforms or providers such as IQVIA, Komodo Health, or PurpleLab.
Experience with Veeva customer relationship management data and pharmaceutical promotional data.
Expertise in patient-level and healthcare professional-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 artificial intelligence methods such as SHAP.
Proven ability to lead data science teams, manage client relationships, and communicate insights to senior stakeholders.

Responsibilities

Develop patient- and healthcare professional-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 United States healthcare claims, real-world data, customer relationship management data, 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.

Principal Data Scientist - Pharma Commercial Analytics

Tiger Analytics Inc. · Princeton, United States (Hybrid) · Full-time · Posted 2026-10-28

Workplace: hybrid

Department: Data Science

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.

Requirements

Strong experience in pharmaceutical commercial analytics and healthcare data science.
Hands-on experience working 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.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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