ROLE SUMMARY

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

The 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.

This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.  

ROLE RESPONSIBILITIES

Role 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 decisionsAssist to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of brand strategies and tacticsPartner with Sales and Marketing Leadership to support sales force executionConnect machine learning models and insights together to identify Commercial brand opportunities and tactics to executeGuide stakeholders via compelling and persuasive storyStrengthen 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 recommendationsEnsure alignment across GCA Data Science teams and Data Science COE teams to ensure cohesive activities with our stakeholdersPartner with other analytic functions to advance the use of novel data sources, including RWD

BASIC QUALIFICATIONS

BA/BS plus 3-5 years of work experience as a data scientist and project lead for a diverse range of projectsSTEM  (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis such as Actuarial Science, Statistics, Computer Science, Operations Research, Economics, EngineeringFluent in English, both written and verbalAdvanced proficiency in R, Python, Excel and analytics platformsExperience with the application of statistics and data science techniques such as machine learning or similar quantitative approaches to solve real-world analytical problemsGood 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 tacticsExperience in one or more of the following areas preferred: machine learning, Bayesian statistics, knowledge of pharma datasets such as IQVIAUnderstands quantitative and qualitative research methodologiesExperience in management of secondary data with application of real-world dataAbility to partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tacticsAbility 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 question  
Work Location Assignment: On Premise

EEO (Equal Employment Opportunity) & Employment Eligibility 

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, or disability.

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