Data Scientist Senior – Customer Segmentation & Classification (RTM)

📋 Description

• Mathematically formalize the trade-off between service time, RTM costs, and revenue per point of
• Model cost and profitability factors, including visit drivers, RTM size thresholds, and minimum
• Develop and solve optimization models using linear programming, integer programming, and
• Contribute to customer characterization across key dimensions, including Channel, Size, Potential
• Analyze end-to-end P&L structures and translate financial information into decision variables
• Document modeling assumptions, validate results, and communicate findings with business and finance

🎯 Requirements

• Strong academic or professional background in Operations Research and Optimization, including
• Ability to interpret P&L statements and translate financial and business considerations into
• Advanced Python programming skills, including experience with optimization libraries such as PuLP
• Solid foundations in statistics, quantitative analysis, and mathematical modeling.
• Hands-on experience working with Databricks.
• Strong analytical thinking and problem-solving skills, with the ability to translate business needs

🎁 Benefits

• Remote-first culture, with the flexibility to work from anywhere.
• In-company English lessons.
• Wellhub membership or sports club stipend.
• Full coverage of certifications in AWS, dbt, Google Cloud, Azure, and Databricks.
• Food credits through Pedidos Ya.
• Birthday day off and an additional vacation week.