Senior Associate, Data Science

Senior Associate, Data Science & AI

Technology impacts everything we do. Pfizer's digital and 'data first' strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.

The Enterprise Data Solutions and Engineering (EDSE), a Pfizer Digital organization is responsible for the development and management of all data and analytic tools and platforms across the enterprise – from research to commercialization and for all Pfizer countries. One of the team's top priorities is the development of data solutions and products which will serve as the engine for the company's digital transformation and growth. EDSE has consistently innovated for Pfizer. This includes cloud solutions, SAAS solutions, open source, data science, AI, and advanced analytics solutions. Our data management solutions are considered industry leading.

What You Will Achieve

Your technical and business skills will help Pfizer support and elevate the functioning of business information processing systems. Your knowledge of computer systems, business processes and workflows will make you a critical member of the team. Your strong communication skills will facilitate requirement gathering for building and enhancing business process maps and systems. Your business process and technical knowledge will help us develop new systems and modify existing business applications, such as inventory control, financial tracking, marketing and human resource system.

Roles & Responsibilities

As a Senior Associate in the Commercial Analytics team within Pfizer's Data Science & AI organization, you will:

• Partner with cross-functional stakeholders (Marketing, Sales, Finance, Digital, etc.) to deliver actionable insights that drive commercial strategy and execution.

• Design and implement advanced analytics solutions including forecasting, segmentation, promotion response modeling, and ROI analysis.

• Translate complex data into clear, compelling narratives and visualizations for business audiences.

• Leverage machine learning and statistical techniques to solve business problems and optimize commercial performance.

• Collaborate with global teams to standardize and scale analytics solutions across markets and therapeutic areas.

• Ensure data integrity, governance, and compliance with Pfizer's data privacy and security standards.

• Continuously explore new data sources, tools, and methodologies to enhance analytical capabilities.

Qualifications & Experience

Required:

• Master's degree in a quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Computer Science, or related discipline).

• 3–5 years of hands-on experience in commercial analytics, preferably in the pharmaceutical or healthcare industry.

• Proficiency in analytical tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI.

• Strong understanding of statistical modeling, machine learning, and data wrangling techniques.

• Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, Snowflake).

Good to Have:

• Exposure to omnichannel analytics, digital marketing analytics, or patient journey analytics.

• Familiarity with commercial data sources such as IQVIA, Symphony, Veeva, or internal CRM systems.

• Experience with Agile methodologies and working in cross-functional, matrixed environments.

• Knowledge of global healthcare systems and regulatory environments.

Professional Characteristics

• Analytical Thinker: Strong problem-solving skills with a data-driven mindset.

• Business Acumen: Ability to understand commercial objectives and align analytics to business needs.

• Effective Communicator: Skilled in presenting complex findings in a clear and concise manner to non-technical stakeholders.

• Collaborative: Team-oriented with the ability to work across geographies and functions.

• Curious & Innovative: Passion for continuous learning and applying new techniques to improve outcomes.

• Detail-Oriented: High attention to detail with a commitment to data quality and accuracy.

• Ethical & Compliant: Adheres to Pfizer's values and maintains the highest standards of data privacy and integrity.

Work Location Assignment: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.