FBS (Mexico) - Decision Scientist (MMM)

Farmers Group Inc.; México; Remote; MXN 480,000 - 720,000; Full time

Job summary

Farmers Group Inc. in Mexico is seeking a Decision Scientist focused on Marketing Mix Modeling (MMM). You will measure marketing effectiveness, build and maintain MMM, and provide insights to optimize spend.

The role requires at least 3 years in analytics, strong statistics and machine learning knowledge, experience with large datasets, and proficiency in R or Python. Fluency in English is essential.

Qualifications

• This role requires MMM experience and strong analytics background.
• At least 3 years of experience in analytics and/or Data Science, preferably in marketing and/or MMM.
• Knowledge of statistics and Machine Learning; experience with large and complex datasets; working knowledge of R or Python; English fluency.

Responsibilities

• Maintain and improve the in-house Marketing Mix Model (MMM).
• Present MMM results to leadership and stakeholders to inform channel allocation and budget planning.
• Create forecasts of expected future sales to support planning and investment.
• Develop other marketing measurement approaches to provide a full picture of marketing effectiveness.

Skills

MMM (Marketing Mix Models)

Statistics

Machine Learning

R/Python

English fluency

Large datasets

Education

Bachelor’s degree in a technical field

Tools

R

Python

Job description

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FBS (Mexico) - Decision Scientist (MMM)

36660

Farmers– where ambition meets opportunity.

Farmers is known for more than its unforgettable jingle – it’s a team with a passion for purpose and making a real difference in people’s lives. Farmers employees deliver peace of mind when it matters most. The organization’s results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn’t just a goal – it’s a way of life for both the organization and every individual on the team. Farmers employees tackle challenges head‑on, learn from every experience and measure their impact on the customers who trust them.

Join usand help power the success of Farmers. As a team member, you’ll collaborate with Farmers’ award‑winning workforce, benefit from a culture of innovation and support and contribute to their mission of delivering protection and peace of mind to millions of U.S. customers.

We are seeking a Decision Scientist

with experience in Marketing Mix Modeling (MMM) and advanced analytics to join our team. This role will play a key part in measuring marketing effectiveness, forecasting business performance, and generating actionable insights that support strategic decision‑making and optimize marketing spend.

Team Function

The Marketing Data Science and Measurement team supports the media team in optimizing media investment. It develops and maintains measurement and attribution models to assist in decision making and budget allocation.

Role Description

This role will be responsible for:

• Maintaining and improving our in‑house Marketing Mix Model (MMM)
• Presenting results from the MMM leadership and stakeholders to inform channel allocation and budget planning.
• Creating forecasts of expected future sales to allow for adequate preparation and optimal investment.
• Developing other forms of marketing measurement to provide a full picture of marketing effectiveness.

The ideal candidate will have deep knowledge of statistical and machine learning techniques and will be comfortable interpreting results of analyses to stakeholders across a wide range of seniority, from entry‑level to C‑suite. They will be able to clearly communicate actionable insights that will improve marketing efficiency.

Education Requirements

Bachelor’s degree in a technical field.

Experience Requirements

• Experience with MMM (Marketing Mix Models)
• At least 3 years of experience in analytics and/or Data Science, preferably in marketing and/or MMM
• Knowledge of statistics and Machine Learning
• Experience working with large and complex datasetsWorking knowledge of R or Python
• Fluency in English

Benefits

This position offers a competitive compensation and benefits package designed to support your wellbeing, growth, and work–life balance. While specific benefits may vary by country and employee level, offerings generally include competitive salary opportunities, performance‑based bonuses, comprehensive benefits, and ongoing training and development resources.

Important Hiring Conditions and Disclosures

By applying for this position, candidates acknowledge and agree that:

Personal Data Processing

The personal data provided during the recruitment and selection process will be collected, processed, andretainedfor legitimate recruitment and compliance purposes,in accordance withapplicable data protection and privacy laws and FBS internal policies.

Legal Authorization to Work

Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire.FBS does not sponsor or obtain work authorization unless explicitly stated.

Exclusivity of Employment and Conflict of Interest

Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise.

About Farmers Insurance

"Farmers Insurance" and "Farmers" are tradenames for a group of insurers providing insurance for automobiles, homes and small businesses and a wide range of other insurance and financial services products. Farmers Insurance Exchange, the largest of the three primary insurers that make up Farmers Insurance, is recognized as one of the largest U.S. companies on the 2025 Fortune 500 list. For more information about Farmers Insurance, visit Farmers.com.