Data Science Associate

ROLE SUMMARY

Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizers 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 patients lives and the future of Pfizer as a data-driven organization.

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 marketing organization. You will be responsible for developing new capabilities including enhancing our marketing measurement and optimization frameworks and delivering actionable insights that inform and optimize marketing efforts.

Successful candidates will be client oriented have excellent attention to detail with strong organizational skills and have experience in marketing analytics. Will have a passion for bridging the gap between data technology and people.

ROLE RESPONSIBILITIES

• Support and maintain existing AI Forecasting data science processes

• Serve as domain expert in the field of data science forecasting to answer technical questions about deliverables

• Contribute to methodology development and experimentation to support new capabilities development

• Collaborate closely with cross-functional teams to align analytics capabilities with broader business objectives

BASIC QUALIFICATIONS

• Bachelors degree in any discipline with quantitative and analytic coursework in such disciplines as STEM (Science Technology Engineering Mathematics) majors with quantitative emphasis such as Data Science Statistics Computer Science Operations Research Economics Engineering

• Fluent in English both written and verbal

• Technically strong with proficiency in data extraction and analytic programming languages including Python and SQL and hands-on experience with Excel

• Good understanding of basic business concepts

• Knowledgeable in application of statistics and data science techniques such as machine learning or similar quantitative approaches to solve real-world analytical problems

• Good communication presentation and storytelling skills with the ability to translate data into insights for diverse audiences.

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

• Proficient in the usage of AI tools to reduce cognitive load and manual labor in their own work environment

PREFERRED QUALIFICATIONS

• Knowledgeable with time-series forecasting

• Experience working with pharmaceutical data and/or working in a commercial pharma setting

• Experience with analytic and visualization tools such as Tableau

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers develop and coach others oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Other Job Details:

• Work location: Flexible; 2-3 days onsite/week

• Last Day to Apply: December 22 2025

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