Pfizer
Data Scientist
Overview
We are looking for a hands-on Data Scientist to design and implement advanced analytics and machine learning solutions that drive commercial decision-making in the pharmaceutical domain.
About Pfizer
Pfizer careers are like no other. In our culture of individual ownership, we believe in our ability to improve future healthcare, and potential to transform millions of lives. We’re looking for new talent to join our global community, to unearth new innovative therapies that make the world a healthier place.
Requirements & Eligibility
- Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related quantitative field.
- 2–4 years in data science or advanced analytics, preferably in commercial pharma or healthcare.
- Strong proficiency in Python (pandas, scikit-learn, statsmodels, PyMC for Bayesian).
- SQL for data extraction and transformation.
- Experience with ML algorithms: regression, classification, clustering, time-series forecasting.
Key Responsibilities
- Develop and deploy forecasting models for sales, demand, and market performance using advanced statistical and ML techniques.
- Apply Bayesian modeling for uncertainty quantification and scenario planning.
- Implement customer/physician segmentation using clustering algorithms and behavioral data.
- Build classification models to predict engagement, conversion, and prescribing patterns.
- Design and execute regression models to measure promotional effectiveness and ROI.
- Develop ML pipelines for classification, clustering, and recommendation systems.
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