# 6 Data Scientist Senior – Customer Segmentation & Classification (RTM)

Muttdata; Ciudad de México; Remote; MXN 1,100,000 - 1,600,000; Full time

Benefits offered by this job

Remote-first culture

Cloud certs covered: AWS/DBT/GC/Azure/

Birthday off + extra vacation week

Referral bonuses

Maslow credits in benefits marketplace

Annual Mutters' Trip

Job summary

Muttdata is a remote-first data science startup looking for a Senior Data Scientist focused on customer segmentation and RTM optimization. You will formalize the trade-offs between service time, costs, and profitability, building scalable models across markets.

You will collaborate with business, finance, data engineers, and analytics engineers to deliver actionable insights and robust solutions. We value ownership, analytical rigor, and the ability to communicate complex findings to

Qualifications

• Background in Operations Research / optimization (linear/integer programming).
• Ability to interpret a P&L and translate into variables, costs, and objectives.
• Strong Python skills with optimization libraries.
• Experience with Databricks or similar data platforms.

Responsibilities

• Formalize mathematically the trade-off between service time, RTM cost and revenue per point of sale.
• Model cost and profitability layers feeding segmentation and service-model assignment.
• Build and solve optimization models (linear/integer programming, constrained optimization).
• Work on Channel/Size/Potential/ Territorial Profile pillars and multi-country expansion.
• Translate P&L into decision variables, costs, and objective functions.

Skills

Operations Research

Financial context (P&L)

Python optimization

Communication to non-technical

Analytical reasoning

Problem solving

Tools

PuLP

Pyomo

OR-Tools

Databricks

Job description

Join Our Remote Data Products & Machine Learning Startup!

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we’re passionate about technology, collaboration, and continuous learning.

We are looking for an Data Scientist Senior – Customer Segmentation & Classification (RTM) to join our team. In this role, you will develop the RTM (Route-to-Market) customer characterization models, translating an end-to-end understanding of the P&L into a formal optimization function that determines the optimal service model for each customer based on profitability, cost-to-serve, and potential.

This role sits at the intersection of operations research, finance, and commercial strategy. Today, the trade-off between service time and revenue per point of sale is handled heuristically. Your mission is to formalize it mathematically and make it scalable across countries. You will work closely with business and finance stakeholders, as well as Data Engineers and Analytics Engineers. Strong analytical rigor, ownership, and the ability to communicate with non-technical audiences are essential

What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Our Partnerships

• Amazon Web Services
• Astronomer
• Databricks

Our Values

• We are Data Nerds
• We are Open Team Players
• We Take Ownership
• We Have a Positive Mindset

Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!

Responsibilities

• Formalize mathematically the trade-off between service time / RTM cost and revenue per point of sale, building the optimization function that currently operates heuristically.
• Model the cost and profitability layer (visit drivers, RTM Size thresholds, minimum margin) that feeds the segmentation and the assignment of service models.
• Build and solve optimization models (linear/integer programming, constrained optimization) to determine the optimal service model for each customer.
• Work on the Characterization pillars (Channel, Size, Potential, Territorial Profile, Digital Autonomy) and their multi-country expansion.
• Interpret the P&L end-to-end and translate it into decision variables, costs, and objective functions.
• Document assumptions and validate results with business and finance stakeholders.
• Develop analyses, features, and models on Databricks, collaborating with Data Engineers and Analytics Engineers.
• Promote best practices in modeling, reproducibility, and documentation across the team.

Required Skills

• Background and experience in Operations Research / Optimization (linear and integer programming, constrained optimization).
• Financial context: ability to interpret a P&L and translate it into variables, costs, and objective functions.
• Advanced Python, including optimization libraries (PuLP, Pyomo, OR-Tools, or similar).
• Solid foundations in statistics and modeling.
• Hands‑on experience with Databricks.
• Ability to translate business needs into analytical solutions and communicate complex findings clearly to technical and non-technical audiences.

Nice to Have

• Experience with survival models / CLV and econometrics.
• Experience in retail or consumer goods (CPG).
• Experience developing agents / agentic infrastructure (e.g., Mosaic AI Agent Framework, agent orchestration, MCP).
• Preferably Mexico City (Santa Fe / Cuajimalpa). Although the position is not strictly on-site, we give preference to candidates based in Mexico City; however, we are open to other locations.

Perks

• Remote-first culture – work from anywhere!
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• Birthday off + an extra vacation week (Mutt Week!)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• Annual Mutters' Trip – an unforgettable getaway with the team!