Manager, Data Science

ROLE SUMMARYThe Manager, Data Science is accountable for delivering data science driven support for multiple brands and will partner with US Commercial team, to develop and implement models and data-science derived insights that drive brands’ strategic priorities. This will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands’ strategies and tactics by interfacing closely with brand leads and Data Science COEs to develop bespoke AI/ML models to meet evolving needs and will also interface closely with sales-operations to drive execution.ROLE RESPONSIBILITIESRole definition and key accountabilities include, but are not limited to:Commercial Data Science and Insights- Provide data science and insights to US Commercial teams to drive brand tactic decisions- Assist to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of brand strategies and tactics- Partner with Sales and Marketing Leadership to support sales force execution- Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute- Guide stakeholders via compelling and persuasive story- Strengthen the Brand and Sales teams understanding of marketplace performance and opportunities by analyzing impacts of brand strategies and tactics and partnering on data product solutions.Collaboration with other GCA and Analytics teams- Partner with GCA IIS leads to incorporate data science capabilities and insights into analytics plans and recommendations- Ensure alignment across GCA Data Science teams and Data Science COE teams to ensure cohesive activities with our stakeholders- Partner with other analytic functions to advance the use of novel data sources, including RWDBASIC QUALIFICATIONS- BA/BS plus 3-5 years of work experience as a data scientist and project lead for a diverse range of projects- 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- Advanced proficiency in R, Python, Excel and analytics platforms- Good communication, presentation, and storytelling skills, with the ability to translate complex data into clear and concise insights for diverse audiences.- Collaborative and results-oriented with a strong work ethic and the ability to manage multiple priorities effectively.PREFERRED QUALIFICATIONS- Experience in understanding brand content, strategy, and tactics- Experience in one or more of the following areas preferred: machine learning, Bayesian statistics, knowledge of pharma datasets such as IQVIA- Understands quantitative and qualitative research methodologies- Ability to partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tactics- Ability to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business questionWork Location Assignment: On PremiseEEO (Equal Employment Opportunity) & Employment EligibilityPfizer 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, or disability.Marketing and Market ResearchLI-PFE