Pfizer
Pharmaceuticals
Director,DataScience
“Director, Data Science at Pfizer. Skills: Data Science, Machine Learning, AI, Analytics, Strategic Partnerships, Leadership. delivering data science driven strategic and tactical support for multiple brands. develop and implement models and data-science derived insights that drive brands’ strategic priorities”
What You'll Achieve.
drive robust analytical insights that inform some of Pfizer's most critical business questions; 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; drive brands’ strategic priorities; achieve meaningful outcomes and create business impact
Industry & Context.
Analytical Thinker; problem-solving approach; connecting analytical thinking with an understanding of business drivers; Data and Information Manager; Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights
Limited business travel required, permanent work authorization in the United States
What They're Looking For.
Must Have
Bachelor's degree required, ideally in quantitative discipline like engineering or data science, 8+ years of work experience, 7+ years' experience in business analytics function, country strategy and/or strategic consulting, Experience using data science models to solve problems in a business environment setting, Fluent in English (written and spoken), MS Excel and PowerPoint skills
Nice to Have
PhD Degree in a relevant field with good publication/research record, 5+ years of work experience (with PhD), Cloud platform certifications
What You'll Do.
delivering data science driven strategic and tactical support for multiple brands
develop and implement models and data-science derived insights that drive brands’ strategic priorities
driving the execution and interpretation AI/ML models
shape the brands’ strategies and tactics
develop bespoke AI/ML models to meet evolving needs
Provide data science and insights to US Commercial teams to drive brand tactic decisions
Act as strategic partner to frame
translate complex data related models
and answer key business questions related to the identification and evaluation of Commercial brand strategies and tactics
Lead a team of Data Scientists and manage their career development
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
How You'll Work.
Team & Collaboration
partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tactics; 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 Solutions teams to ensure cohesive activities with our stakeholders; Partner with other analytic functions to advance the use of novel data sources, including RWD; Highly Collaborative; Manages projects with and through shares responsibility and develops self and others through teamwork
Communication Scope
Communicator; Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision; Guide stakeholders via compelling and persuasive story; 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 question
Process & Methodology
Project Manager, Articulates scope and deliverables of projects, delivers analyses within timelines
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