Data Scientist Senior – Customer Segmentation & Classification (RTM)

📋 Description

• Formalize mathematically the trade-off between service time / RTM cost and revenue per point of
• Model the cost and profitability layer (visit drivers, RTM Size thresholds, minimum margin) that
• Build and solve optimization models (linear/integer programming, constrained optimization) to
• Work on the Characterization pillars (Channel, Size, Potential, Territorial Profile, Digital
• Interpret the P&L end-to-end and translate it into decision variables, costs, and objective
• Document assumptions and validate results with business and finance stakeholders.

🎯 Requirements

• Background and experience in Operations Research / Optimization (linear and integer programming
• Financial context: ability to interpret a P&L and translate it into variables, costs, and
• 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

🎁 Benefits

• Remote-first culture – work from anywhere!
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
• Birthday off plus 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!