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Data Science Manager, Commercial Analytics

hace 2 meses

Xico, México Pfizer A tiempo completo
Job Summary

The Data Science Manager, Commercial Analytics will be accountable for delivering data science support in a country-specific context. This individual will partner with Commercial and Medical teams to develop and implement models and data-science derived insights that drive country strategic priorities.

Key Responsibilities
  • Provide data science and insights to Country Commercial and Medical teams to drive brand tactic decisions
  • Assist in framing, investigating, translating complex data-related models, and answering key business questions related to the identification and evaluation of Commercial and Medical brand strategies and tactics
  • Interface with Omnichannel-operations on execution and data science bespoke analytical needs
  • Connect machine learning models and insights together to identify Medical and Commercial brand opportunities and tactics to execute
  • Guide Medical and Commercial brand teams via compelling and persuasive storytelling and deliver clear and actionable brand tactic recommendations
  • Track and analyze impacts of Medical and Commercial brand strategies and tactics using dashboards and data products
Collaboration and Partnership
  • Partner with Data Science COE to develop bespoke AI and machine learning models; configure pre-built models and interpret updated results
  • Ensure alignment with Data Science COEs teams to ensure cohesive activities with stakeholders
  • Partner with BAI market lead to incorporate and prioritize data science insights into analytics plans and recommendations
  • Align across BAI Data Science teams and Data Science COE teams to ensure cohesive activities with our stakeholders
Professional Characteristics
  • **Analytical Thinker**: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how BAI can provide value to the organization
  • **Data and Information Manager**: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights
  • **Communicator**: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others
  • **Collaborative**: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork
  • **Project Manager**: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
Technical Skills
  • Fluent in English (written and spoken)
  • Strong MS Excel and PowerPoint skills
  • Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques
  • Experience in understanding brand content, strategy, and tactics
  • Ability to effectively utilize dashboards and data products to derive insights
  • Understands quantitative and qualitative research methodologies
  • Ability to partner with cross-functional teams (Commercial, Medical, 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 questions
  • Ability to be flexible, prioritize multiple demands, and deal with ambiguity
Experience and Education
  • 3+ years of experience in business analytics or data science function, country strategy, and/or strategic consulting
  • Experience using data science models to solve problems in an education or business environment setting
  • Bachelor's degree required, ideally in a quantitative discipline like engineering or data science; also an advanced degree preferred in business administration, statistics, or other relevant field