Manager, Data Science and AI

Role Summary

The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. The Manager, Data Science & AI, will play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. By collaborating closely with subject matter experts across various fields, the candidate will leverage advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data.

The Manager is responsible for leading high-impact projects delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and techniques to solve complex problems and create value. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to the pharma business.

Roles & Responsibilities

• Project Leadership : Leads and implements the delivery and all aspects of engineering activities for data and analytic platforms / solutions.
• Collaboration : Works closely with cross-functional teams and business stakeholders to develop roadmaps and shape solutions using standard technology stacks.
• Building Analytics Pipelines : Designs and oversees the development of analytics pipelines, products, and insights for the Commercial Pharma domain.
• Advanced Statistical Analysis : Utilizes advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and actionable insights from data.
• Business Impact : Synthesizes analysis and data into meaningful recommendations to drive concrete strategic decisions for brand tactics and commercial strategy.
• Innovation : Stays abreast of analytical trends and cutting-edge applications of data science and AI, championing the adoption of new techniques and tools.
• Quality & Governance : Ensures best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance.

Qualification & Experience

Good to Have :

Professional Characteristics :

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.

Marketing and Market Research

Skills Required

Matplotlib, Machine Learning, Pyspark, Tableau, Ms Office, Sql, Deep Learning, Nosql, Git, Numpy, Pandas, Pytorch, Docker, Powerbi, snowflake , Seaborn, Sharepoint, Python