
¡Activa las notificaciones laborales por email!
Genera un currículum adaptado en cuestión de minutos
Consigue la entrevista y gana más. Más información
A leading pharmaceutical company is looking for a Manager of Data Science to work in a dynamic environment. This role involves collaborating with stakeholders to enhance marketing data analytics and optimization frameworks. Candidates should have a background in STEM and possess advanced skills in R, Python, and SQL. The position requires strong communication abilities for translating complex data insights. The work model is hybrid, requiring presence on-site in Mexico City 2 to 3 times per week.
As a Manager, Data Science, you will work in a dynamic, fast-paced environment.
You will collaborate closely with senior business stakeholders in the Chief Marketing Officer (CMO) organization and other organizations within Pfizer and help drive data-driven decision-making across the marketing organization.
You will be responsible for developing new capabilities including enhancing our marketing measurement and optimization frameworks and delivering actionable insights that inform and optimize marketing efforts.
Help measure and drive optimization of Pfizer's media investments via both technology and process enhancements.
Develop impact measurement experimentation solutions (A/B testing, ANCOVA, Econometrics models, etc).
Collaborate closely with cross-functional teams to align marketing analytics capabilities with broader business objectives, fostering collaboration and effective decision-making.
Design, develop, deploy and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution.
Be a hands-on teammate who knows how to code in Python / R / SQL and able to communicate the results to the business stakeholders.
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.
Work Location Assignment: Mexico City (Hybrid work model, which requires presence on site 2 to 3 times per week or as necessary for business operations).
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.