Data Science Associate, CMO
About The Position
Global Commercial Analytics (GCA) uses data and rigorous analytical expertise to inform important Pfizer business decisions. The team includes specialists in data science, engineering, market research, and consulting who collaborate to turn data into insights that affect patients and Pfizer’s commercial organization. The Data Science Associate works in a dynamic, fast-paced environment, collaborating with senior business stakeholders in the Chief Marketing Officer (CMO) organization and other Pfizer teams. The role applies advanced analytical techniques to business questions and provides insights on performance and customer understanding to support decision-making for the North America commercial organization. It requires hands-on work with large datasets, coding, and experimentation, as well as strong communication and consulting skills.
Requirements
- Bachelor of Arts or Bachelor of Science degree plus relevant experience as a data analyst.
- STEM background with a quantitative emphasis, such as actuarial science, statistics, computer science, operations research, economics, or engineering.
- Fluent written and verbal English.
- Strong hands-on Python coding ability.
- Working knowledge of common machine-learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Basic experience with a cloud platform such as AWS, Azure, Snowflake, or GCP.
- Solid understanding of ML/AI fundamentals and experimental-design basics, including train/test splits, evaluation metrics, and avoiding common pitfalls.
- Collaborative, results-oriented approach, strong work ethic, and ability to manage multiple priorities effectively.
Nice To Haves
- Prior Pfizer Future internship experience is strongly preferred.
- Experience in pharmaceutical commercial analytics and management consulting.
- Knowledge and understanding of the pharmaceutical health-care space, including IQVIA and prescription/sales data.
- Container experience with Docker.
Responsibilities
- Develop and implement objective secondary data analyses of marketing and field force promotional efforts to support marketing and sales initiatives.
- Solve unstructured business problems by designing and executing customized, high-priority analytical projects using advanced analytical techniques.
- Apply statistical and data-mining techniques to large datasets to identify trends, facts, and opportunities.
- Collaborate with cross-functional teams to align analytics capabilities with broader business objectives and support effective decision-making.
- Partner with colleagues on experimental design and maintain statistical and methodological rigor across proofs of concept.
- Use tools such as R, SQL, and Python to conduct analyses and communicate results to business stakeholders.
- Contribute substantial hands-on coding and experimental work rather than working purely in a managerial capacity.
Benefits
- 401(k) plan with Pfizer matching contributions and an additional Pfizer Retirement Savings Contribution.
- Paid vacation, holidays, and personal days.
- Paid caregiver/parental and medical leave.
- Medical, prescription drug, dental, and vision coverage.
- Participation in Pfizer’s Global Performance Plan, with a bonus target of 7.5% of base salary.
- Relocation assistance may be available based on business needs and/or eligibility.
- Comprehensive benefits and programs to support colleagues’ health and life needs.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
