# 6 Data Scientist Senior – Customer Segmentation & Classification (RTM)

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we’re passionate about technology, collaboration, and continuous learning.

We are looking for an Data Scientist Senior – Customer Segmentation & Classification (RTM) to join our team 🐶🚀. In this role, you will develop the RTM (Route-to-Market) customer characterization models, translating an end-to-end understanding of the P&L into a formal optimization function that determines the optimal service model for each customer based on profitability, cost-to-serve, and potential.

This role sits at the intersection of operations research, finance, and commercial strategy. Today, the trade-off between service time and revenue per point of sale is handled heuristically. Your mission is to formalize it mathematically and make it scalable across countries. You will work closely with business and finance stakeholders, as well as Data Engineers and Analytics Engineers. Strong analytical rigor, ownership, and the ability to communicate with non-technical audiences are essential

• 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.
• Hands-on experience with Databricks.
• 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.