PfizerData Science Associate, CMO
Pfizer is hiring a Data Science Associate, CMO in New York, United States. It pays $60k-$100k a year and Level rates it ; you can apply on Pfizer.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Pfizer mentions visa sponsorship in this posting.
- Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
- Level lists 560 other open roles at Pfizer.
- The role was posted in the last few days.
AI in this role
Develop secondary data analysis and statistical models to support commercial marketing and sales initiatives using R, SQL, and Python.
ROLE SUMMARY
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, GCA’s 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.
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.
In your day to day, you’ll be challenged to utilize advanced analytic techniques to address key business questions, provide valuable insights on performance and customer understanding to enable major decision-making for the North America commercial organization.
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.
ROLE RESPONSIBILITIES
• 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.
• Code and experimental work at a meaningful capacity (not purely managerial).
QUALIFICATIONS
MUST-HAVE
• 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.)
OTHER JOB DETAILS
Last Day to Apply: November 16th, 2026.
Work Location Assignment: Hybrid. Selected candidate must be onsite 2.5x weekly.
#LI-DNI
The annual base salary for this position ranges from $60,200.00 to $100,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
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 provider’s 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.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Marketing and Market Research
How we rate this
Data Science Associate, CMO at Pfizer rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where statistical analysis was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where experimental design was part of your work. What did you do?
- Walk me through how you've used PyTorch in your day-to-day work.
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- List these exact terms on your resume: Data Analysis, Statistical Analysis, Data Mining, Experimental Design, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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