Manager, Data Science

Pfizer; Ciudad de México; Presencial; USD 45,000 - 70,000; Jornada completa

Descripción de la vacante

Pfizer seeks a Manager, Data Science to deliver data-driven insights for commercial brands. This dynamic role involves collaborating with cross-functional teams to shape brand strategies through advanced analytical models and data insights. The successful candidate will have a strong background in data science, proven communication skills, and the ability to transform complex data into actionable recommendations.

Formación

• 3-5 years of experience as a data scientist and project lead.
• Fluent in English, advanced skills in R, Python, and Excel.
• Strong analytical capabilities with experience in machine learning.

Responsabilidades

• Drive execution and interpretation of AI/ML models.
• Provide data science and insights to support brand tactics.
• Collaborate with analytics teams to leverage novel data sources.

Conocimientos

Communication

Collaboration

Data Analysis

Machine Learning

Educación

BA/BS in STEM fields

Herramientas

R

Python

Excel

Analytics Platforms

Descripción del empleo

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 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 RWD

BASIC 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
• Experience with the application of statistics and data science techniques such as machine learning or similar quantitative approaches to solve real-world analytical problems
• 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
• Experience in management of secondary data with application of real-world data
• 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 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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