Data Science Associate, CMO

As a Data Science Associate, you will work in a dynamic, fast-paced environment. You will collaborate closely with senior business stakeholders in the Chief Marketing Officer (CMO) organization and other organizations within Pfizer, and help drive data-driven decision-making across the commercial organization., Develop and implement sound, objective secondary data analysis on marketing and field force promotional effort to enable the execution of key marketing and sales initiatives.

Solve unstructured business problems by designing and executing customized, novel and high priority analytical projects utilizing advanced analytical techniques.

Execute statistical and data mining techniques on large datasets to identify trends, facts and opportunities.

Collaborate closely with cross-functional teams to align analytics capabilities with broader business objectives, fostering collaboration and effective decision-making.

Partner with colleagues on experimental design, ensuring statistical/methodological rigor across POCs.

Be a hands-on teammate who can Utilize tools like R, SQL, Python, to conduct analysis to communicate results to the business stakeholders.

Successful candidates will be team-oriented, will demonstrate strong communication and consulting skills and will have hands-on experience working with and analyzing large datasets., BA/BS plus relevant experience as a data analyst

Background in STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis such as Actuarial Science, Statistics, Computer Science, Operations Research, Economics, Engineering

Fluent in English, both written and verbal.

Strong hands-on coding ability in Python; working knowledge of common ML frameworks (PyTorch, TensorFlow, or scikit-learn).

Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, or similar)

Basic cloud platform experience (AWS, Azure, Snowflake or GCP); container experience (Docker) a plus.

Solid grasp of ML/AI fundamentals and experimental design basics (train/test splits, evaluation metrics, avoiding common pitfalls).

Collaborative and results-oriented with a strong work ethic and the ability to manage multiple priorities effectively.

NICE-TO-HAVE

Prior Pfizer Future internship experience strongly preferred

Experience in the pharmaceutical commercial analytics industry and management consulting

Knowledge, insight and understanding of the pharma health care space (IQVIA, Rx/Sales, etc.)

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care providers name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer’s most critical business questions. With colleagues across the globe, GCAs rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, engineering, market research, and consulting. As a team, we collaborate to turn data into meaningful insights that will have a direct impact on patient’s lives and the future of Pfizer as a data-driven organization.