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Senior Data Scientist – Customer Segmentation & Classification (RTM)

Jobgether • Brazil
Remote
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Seeking a Senior Data Scientist to develop and scale customer segmentation models for Route-to-Market (RTM) optimization in Brazil. Responsibilities include creating optimization functions, modeling cost/profitability factors, and translating financial data into actionable business decisions. Requires expertise in operations research, linear/integer programming, and advanced Python skills.

Key Highlights
Develop optimization models for RTM strategy using linear/integer programming
Translate financial data (P&L) into mathematical decision variables and cost models
Collaborate with Data Engineering and Analytics Engineering teams using Databricks
Key Responsibilities
Develop optimization models for customer segmentation and RTM strategy
Translate financial data into mathematical models for profitability and cost analysis
Collaborate with cross-functional teams to implement data-driven business decisions
Document and validate modeling assumptions and results
Technical Skills Required
Operations Research & Optimization Python (with PuLP/Pyomo/OR-Tools) Databricks
Benefits & Perks
Remote-first culture with global flexibility
In-company English lessons
Wellhub membership or sports club stipend
Full coverage of certifications in AWS, dbt, Google Cloud, Azure, Databricks
Food credits through Pedidos Ya
Birthday day off and additional vacation week
Referral bonuses
Annual team trip
Monthly childcare reimbursement
Nice to Have
Experience with survival models or Customer Lifetime Value (CLV)
Background in retail or consumer packaged goods (CPG)
Experience with AI agents or agentic infrastructure

Job Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist Senior – Customer Segmentation & Classification (RTM) based in Brazil.

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