Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Science Associate, CMO role.
Rezi rewrites your resume against Pfizer's job description. Free.
Tailor your resume to this Data Science Associate, CMO role.
Rezi rewrites your resume against Pfizer's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Science Associate, CMO posting at Pfizer — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Science Associate, CMO posting at Pfizer — free, in seconds.
About the Role
Global Commercial Analytics (GCA) leverages data to provide analytical insights for critical business questions. The Data Science Associate will collaborate with senior stakeholders to drive data-driven decision-making, utilizing advanced analytic techniques to address business questions and provide insights on performance and customer understanding for the North America commercial organization.
Responsibilities
- Develop and implement secondary data analysis on marketing and field force promotional effort.
- Solve unstructured business problems by designing and executing customized analytical projects using advanced techniques.
- Execute statistical and data mining techniques on large datasets to identify trends, facts, and opportunities.
- Collaborate with cross-functional teams to align analytics capabilities with business objectives.
- Partner with colleagues on experimental design, ensuring statistical and methodological rigor.
- Utilize tools like R, SQL, and Python to conduct analysis and communicate results.
- Perform coding and experimental work.
Requirements
- BA/BS plus relevant experience as a data analyst.
- Background in STEM majors with quantitative emphasis (e.g., 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) is a plus.
- Solid grasp of ML/AI fundamentals and experimental design basics.
- Collaborative and results-oriented with a strong work ethic.
- Ability to manage multiple priorities effectively.
- Prior Pfizer Future internship experience strongly preferred.
- Experience in the pharmaceutical commercial analytics industry and management consulting.
- Knowledge of the pharma health care space (IQVIA, Rx/Sales, etc.).
- Permanent work authorization in the United States is required.
- U.S. work visa sponsorship is not available for this role.
Skills
- Python
- R
- SQL
- PyTorch
- TensorFlow
- scikit-learn
- CI/CD tools
- GitHub Actions
- Jenkins
- AWS
- Azure
- Snowflake
- GCP
- Docker
- ML/AI fundamentals
- Experimental design
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- Associate
Education Level
- BA/BS
Salary/Compensations
- $60,200.00 - $100,400.00
Benefits
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation, holiday, and personal days
- Paid caregiver/parental and medical leave
- Health benefits (medical, prescription drug, dental, and vision coverage)
- Relocation assistance may be available
About the Company
- Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions.
- 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.
Equal Opportunity
- 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.