Data Scientist Senior – Customer Segmentation & Classification (RTM)
Core
Develop and scale customer characterization and segmentation models for Route-to-Market (RTM) optimization, transforming financial and commercial considerations into mathematical models to determine effective service strategies.
Role type
Senior IC data scientist (operations research & optimization)
Builds
Scalable, data-driven optimization models for service strategy across multiple countries
Domain
Retail / Consumer Packaged Goods (CPG) + Operations Research
Deliverable
production ML models
Required skills
Operations Research, Linear Programming, Integer Programming, Constrained Optimization, Python (PuLP, Pyomo, OR-Tools), Databricks, P&L Analysis, Statistical Modeling
Preferred skills
Survival Models, Customer Lifetime Value (CLV), Econometrics, AI Agents, Mosaic AI Agent Framework, Model Context Protocol (MCP)
Technologies
Databricks, PuLP, Pyomo, OR-Tools
Responsibilities
Mathematically formalize trade-offs between service time, RTM costs, and revenue; Model cost and profitability factors; Develop and solve optimization models; Contribute to customer characterization across key dimensions; Analyze end-to-end P&L structures; Document modeling assumptions and validate results
Seniority
Senior, hands-on IC
