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Manager, Data Science Job Opening In Mexico City – Now Hiring Pfizer


Job description

About the Role

We are seeking a seasoned Manager of Data Science to lead advanced Marketing Analytics, modeling, and resource allocation projects across our Commercial Analytics organization.

This role is ideal for a technically strong analytics individual with deep expertise in media mix modeling (MMM), Python programming, and scalable analytics workflows.

You will play a critical role in shaping marketing strategy, optimizing investments, and driving growth by leveraging advanced statistical modeling, experimentation, and data engineering best practices.

Key Responsibilities

·Lead Media Mix Modeling (MMM): Design, implement, and maintain MMM frameworks to measure marketing effectiveness and guide investment decisions across channels.·Scale Analytics Workflows: Architect and streamline analytics workflows, pipelines, and automation processes to ensure scalability and efficiency across teams.·Drive Insights & Strategy: Translate data into actionable insights, providing clear recommendations to senior leadership and cross-functional partners.·Build Advanced Models: Apply robust statistical methods (Bayesian inference, regression, time-series, causal inference) to evaluate marketing performance.·Code & Automate: Write clean, production-grade Python code to build reusable tools, optimize workflows, and enable scenario planning at scale.·Partner Cross-Functionally: Collaborate with marketing, finance, product, and data engineering teams to align analytics outputs with business strategy.·Partner with to junior data scientists, setting standards for code quality, modeling rigor, and analytical best practices.

Qualifications

·Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or related field (PhD a plus).·Experience:
- 4+ years of experience in analytics, data science, or marketing measurement roles, with at least 3 years in a senior or managerial capacity.
- Proven track record building and scaling Media Mix Models (MMM) and integrating outputs into decision-making.·Technical Skills:
- Strong expertise in Python (pandas, NumPy, statsmodels, scikit-learn, PyMC or similar Bayesian packages).
- Experience with SQL and cloud platforms (AWS, Snowflake, GCP, or similar).
- Strong statistical foundation: regression, time-series, Bayesian methods, causal inference.·Domain Expertise: Deep understanding of marketing channels (TV, digital, search, social, programmatic, retail media) and measurement frameworks (incrementality, attribution, MMM).·Leadership: Demonstrated ability to lead teams, set technical standards, and scale analytical practices in fast-paced environments.·Soft Skills: Strong storytelling, communication, and stakeholder management skills; able to translate complex analysis into strategic insights.

Why Join Us

This is an opportunity to shape the future of marketing measurement at scale, working on cutting-edge MMM, automation, and analytics solutions.

You’ll have a seat at the table to influence investment decisions, build transformative solutions, and mentor a team of top-tier analytics talent.


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.

Marketing and Market Research

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Manager Data Potential: Insight & Career Growth Guide


Real-time Manager Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Manager Data in Mexico City, Mexico, highlighting market share and opportunities for professionals in Manager Data roles.

15196 Jobs in Mexico
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Are You Looking for Manager, Data Science Job?

Great news! is currently hiring and seeking a Manager, Data Science to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Pfizer adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Mexico laws and regulations

What Is the Average Salary Range for Manager, Data Science Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Mexico City. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Manager, Data Science?

Key qualifications for Manager, Data Science typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Manager, Data Science Job Success

Pfizer interview tips for Manager, Data Science

Here are some tips to help you prepare for and ace your Manager, Data Science job interview:

Before the Interview:

Research: Learn about the Pfizer's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Manager, Data Science interview at Pfizer, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Pfizer's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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