Muttdata - # 6 Data Scientist Senior – Customer Segmentation & Classification (RTM)
Requirements
• 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. • Ability to translate business needs into analytical solutions and communicate complex findings clearly to technical and non-technical audiences. • 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.
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.
Benefits
• 🌍 Remote-first culture – work from anywhere! • 🚀 In-Company English Lessons. • 💪 Wellhub or sports club stipend to stay active • 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • 🍕 Food credits via Pedidos Ya – because great work deserves great food. • 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️) • 🤝 Referral bonuses – help us grow the team & get rewarded! • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team! • 👶 Monthly Childcare Reimbursement – Because supporting families matters too
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