# Data Science Associate

**Company**: Pfizer
**Location**: New York City, New York
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: full-time
**Salary**: $60,200.00 to $100,400.00
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/United-States---New-York---New-York-City/Data-Science-Associate--CMO_4966542-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7a0dcb85-e7b

## Description

Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions.

As a Data Science Associate, you will work in a dynamic, fast-paced environment, collaborating 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.

**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**

- 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.

- Comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments.

## Skills

### Required
- Python
- R
- SQL
- Machine Learning
- Data Analysis
- Statistics
- Cloud Computing
- Containerization

### Nice to have
- Prior Pfizer Future internship experience
- Experience in the pharmaceutical commercial analytics industry and management consulting
- Knowledge of pharma health care space

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Source: [Apply at pfizer.wd1.myworkdayjobs.com](https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/United-States---New-York---New-York-City/Data-Science-Associate--CMO_4966542-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)