Senior Data Scientist – Customer Segmentation, Classification

MUTT DATA

. Formalize mathematically the trade-off between service time / RTM cost and revenue per point of sale, building the optimization function that currently operates heuristically .

Posted 10/27/2026full-timeRemote • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Operations Research and Optimization, with a strong ability to build and solve optimization models using advanced Python and relevant libraries. Capable of interpreting P&L statements and translating business needs into actionable analytical solutions.

Highest-signal resume keywords

Operations ResearchLinear ProgrammingInteger ProgrammingAdvanced PythonDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Optimization ModelingConstrained OptimizationStatistical AnalysisP&L InterpretationAnalytical Solutions

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

PuLPPyomoOR-ToolsDatabricks

Industry Keywords

Service Model OptimizationCost and Profitability AnalysisSegmentationVisit DriversTerritorial Profile

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 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

Requirements

What you’ll need

Background and experience in Operations Research / Optimization (linear and integer programming, constrained optimization)
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

Benefits

Comp & 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
Maslow: Monthly credits to spend in our benefits marketplace
Annual Mutters' Trip – an unforgettable getaway with the team