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

4 hours, 59 minutes ago
Full-time
Senior
Data Science and Analytics
MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-200
Founded 2017

Description

  • Formalize the trade-off between service time, route-to-market cost, and revenue per point of sale into optimization functions.
  • Model cost and profitability drivers, including visit drivers, RTM size thresholds, and minimum margins.
  • Build and solve linear, integer, and constrained optimization models to assign the optimal service model to each customer.
  • Develop customer characterization across channel, size, potential, territorial profile, and digital autonomy for multi-country use.
  • Translate end-to-end P&L data into decision variables, costs, and objective functions.
  • Document modeling assumptions and validate results with business and finance stakeholders.
  • Develop analyses, features, and models in Databricks with Data Engineers and Analytics Engineers.
  • Promote modeling, reproducibility, and documentation best practices across the team.

Requirements

  • Experience in operations research and optimization, including linear programming, integer programming, and constrained optimization.
  • Ability to interpret P&L statements and translate financial data into variables, costs, and objective functions.
  • Advanced Python proficiency, including optimization libraries such as PuLP, Pyomo, or OR-Tools.
  • Strong foundations in statistics and modeling.
  • Hands-on experience with Databricks.
  • Ability to translate business needs into analytical solutions and communicate findings to technical and non-technical audiences.
  • Experience with survival models, customer lifetime value, or econometrics (preferred).
  • Experience in retail or consumer packaged goods (preferred).
  • Experience developing agents or agentic infrastructure, such as Mosaic AI Agent Framework, orchestration, or MCP (preferred).
  • Based in Mexico City, particularly Santa Fe or Cuajimalpa, is preferred; other locations are welcome.

Benefits

  • Remote-first work environment.
  • AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
  • Birthday leave and an additional vacation week (Mutt Week).
  • Referral bonuses.
  • Monthly Maslow credits for a benefits marketplace.
  • Annual team trip.

Interested in this position?

Apply directly on the company website

Apply Now

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