Data Science Associate, CMO

Pfizer•New York City, NY
•Hybrid

About The Position

Global Commercial Analytics (GCA) uses data and analytical expertise to inform important Pfizer business decisions. The Data Science Associate will work in a dynamic, fast-paced environment, collaborating with senior stakeholders in the Chief Marketing Officer (CMO) organization and colleagues across Pfizer to support data-driven decision-making across the commercial organization. The role applies advanced analytical techniques to address business questions and provide insights on performance and customer understanding for the North America commercial organization. The position combines hands-on coding and analysis with cross-functional collaboration. The associate will analyze large datasets, contribute to experimental design and proof-of-concept work, and communicate findings to business stakeholders. The role includes meaningful coding and experimental work rather than being purely managerial.

Requirements

  • Bachelor’s degree (BA/BS) plus relevant experience as a data analyst.
  • A STEM background with quantitative emphasis, such as Actuarial Science, Statistics, Computer Science, Operations Research, Economics, or Engineering.
  • Fluency in written and spoken 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.
  • A solid understanding of machine-learning and 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.
  • Authorization to work in the United States for any employer; permanent U.S. work authorization is required, and visa sponsorship is unavailable.

Nice To Haves

  • Prior Pfizer Future internship experience is strongly preferred.
  • Experience in pharmaceutical commercial analytics or management consulting.
  • Knowledge and understanding of the pharmaceutical healthcare space, including IQVIA and Rx/Sales data.
  • Container experience such as Docker.

Responsibilities

  • Develop and implement objective secondary data analyses of marketing and field-force promotional efforts to support key marketing and sales initiatives.
  • Solve unstructured business problems through customized 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 help ensure methodological and statistical rigor across proofs of concept.
  • Use tools such as R, SQL, and Python to conduct analysis and communicate results to business stakeholders.
  • Contribute hands-on coding and experimental work at a meaningful 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.
  • Eligibility to participate 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 intended to support colleagues’ health and life needs.
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