Manager Data Science, Commercial Analytics
hace 1 semana
ROLE SUMMARY
The person in this role is accountable for delivering data science support in [include country]. The person will partner with Commercial and Medical teams, to develop and implement models and data-science derived insights that drive [include country] strategic priorities. This will include executing and interpreting AI/ML models, framing problems, shaping solutions
Also, this person will help shape the brands’ strategies and tactics by interfacing closely with Data Science COEs and leveraging capabilities that have been developed around bespoke AI/ML models, and interface closely with omnichannel-operations to drive execution.
ROLE RESPONSIBILITIES
Commercial and Medical Data Science and Insights- Provide data science and insights to Country Commercial and Medical 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 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 story 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
Collaborate with Data Science COE- 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
Collaboration with other BAI and Analytics teams- 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- Partner with other analytic functions to advance the use of novel data sources, including RWD
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-inTechnical 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 question- Ability to be flexible, prioritize multiple demands and deal with ambiguity
Experience- 3+ years 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
Education- Bachelor’s degree required, ideally in quantitative discipline like engineering or data science; also advanced degree preferred in business administration, statistics, or other relevant field
PHYSICAL/MENTAL REQUIREMENTS
None
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Limited business travel required
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the t
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