Data Science Associate

Pfizer; Estado de México; Híbrido; MXN 452,000 - 634,000; Jornada completa

Descripción de la vacante

A global pharmaceutical company is hiring a Data Science Associate in Mexico, Estado de México. The role involves data analysis, collaboration with business stakeholders, and utilizing programming languages such as Python and R. Candidates should have a strong analytical background with a Bachelor’s degree in STEM. Excellent communication skills are important to translate data insights for diverse audiences. The position offers a hybrid work environment and the opportunity to impact decision-making processes.

Formación

• Bachelor's degree with quantitative coursework in STEM fields.
• Fluent in English, both written and verbal.
• Strong understanding of analytic programming languages.

Responsabilidades

• Conduct secondary data analysis and present findings.
• Collaborate with cross-functional teams on analytics.
• Support reusable assets and custom pipelines.
• Utilize Python/R/SQL for data extraction.

Conocimientos

Analytical skills

Python

SQL

R

Data visualization

Communication skills

Educación

Bachelor's degree in STEM

Herramientas

Tableau

Excel

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.

As a Data Science Associate, 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 commercial organization.

In your day to day, you’ll be challenged to learn and utilize advanced analytic techniques to address key business questions, provide valuable insights on performance and customer understanding to enable major decision-making for the North America commercial organization.

Successful candidates will be team-oriented, will demonstrate strong communication and analytical skills and will have background in STEM related academic fields.

ROLE RESPONSIBILITIES

• Develop and implement sound, objective secondary data analysis on marketing and field force promotional efforts to present findings for our stakeholders.
• Collaborate closely with cross-functional teams to align analytics capabilities with broader business objectives, fostering collaboration and effective decision-making.
• Support and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution.
• Leverage analytic techniques to provide insights on data.
• Be a hands-on teammate who knows how to code in Python/R/SQL to pull data queries from our data warehouse.
• Handle inquiries regarding deliverables.

BASIC QUALIFICATIONS

• Bachelor's degree in any discipline with quantitative and analytic coursework in such disciplines as 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
• Technically strong with good understanding in data extraction and analytic programming languages such as R, Python, SAS and SQL as well as analytic and visualization tools such as Tableau, Data Science Studio and Excel and analytics platforms

• Knowledgeable in 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 data into 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 the pharmaceutical commercial analytics industry and/or management consulting
• Understanding of optimization, mathematical modeling, machine learning algorithms, and data structures

Work Location Assignment: Hybrid

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.