# 7 - Senior AI Data Scientist / Modeler - Databricks - Mexico

Muttdata
Mexico
Remote

Who this role is best for

Aimed at experienced data scientists with agentic AI and optimization expertise who are comfortable with remote collaboration and geospatial modeling in a startup environment.

Best fit for

  • Candidates with strong background in recommendation systems and AI agent development for operational use cases
    — “working closely with data, platform, and business teams across the end-to-end AI Factory cycle”
  • Individuals who have experience in routing optimization and real-world deployment of machine learning models
    — “Model the coaching route recommendation as a routing optimization problem”
  • Professionals who can bridge technical modeling and business outcomes in a fast-paced startup setting
    — “Strong technical depth, business sense, and ownership are essential to succeed in this fast-paced, collaborative environment.”

Things to consider

  • While remote, the role prefers candidates located in Mexico City for potential collaboration
    — “Location: Mexico City (Santa Fe / Cuajimalpa) preferred, though the role is not strictly on-site”
  • The role requires integration of multiple technical domains including ML, optimization, and geospatial data
    — “This role sits at the intersection of agentic AI, recommendation systems, and operations research”

How to stand out

  • Highlight experience in agentic AI development and real-world routing optimization projects
    — “Hands-on experience in agentic AI development (designing AI agents that make decisions)”
  • Demonstrate ability to package models using PyFunc and integrate with orchestration tools
    — “Package the model under the MFL framework (PyFunc, model_card, tests) and integrate it with orchestration and deployment to operations.”
  • Showcase work with geospatial data and optimization libraries such as OR-Tools or Pyomo
    — “Experience in optimization / operations research: routing, VRP, constrained optimization.”
  • Emphasize integration of business signals into technical models for operational relevance
    — “Integrate business signals (potential, execution, compliance, pre-seller KPIs) so coaching recommendations make sense both operationally and geographically.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed and deployed machine learning models
  • optimized coaching routes
  • integrated business signals into AI models
Typical background
PhD or Master's in Computer Science, Statistics, or related field5+ years of experience in data science or machine learning

Skills & requirements

Required

Machine-learningData-scienceDatabricksAgentic-aiRecommendation-systemsOperations-research

Preferred

PythonSQLData-engineeringCloud-computing

Stack & domain

DatabricksPythonMachine LearningData ScienceAgentic AIRecommendation SystemsOperations ResearchAWSAstronomerGenerative AIDeep LearningVisual RecognitionAutomationData EngineeringCustom AI SolutionsCloud-based SystemsDemand PlanningBudget ForecastingData InfrastructureHigh-level Decision-makingProduct CategorizationQuality ControlInformation RetrievalE-commerceStreamingDigital PlatformsPersonalizationUser ExperienceEngagementConversionsLeadershipCollaborationContinuous LearningTechnical DepthBusiness SenseOwnershipPositive MindsetBeverage IndustrySales LeadershipField CoachingAI Factory

About the role

Original posting from Muttdata via Lever

🚀 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.

This opportunity is with a leading multinational beverage company based in Mexico City, as part of its AI Factory initiative.

We are looking for a Senior AI Data Scientist / Modeler with Databricks experience to join our team 🐶🚀. You'll build the Sales Leader Insights product within the Smart Force platform: an agentic AI architecture that selects the most relevant insights for each sales leader and recommends a coaching route that makes business sense, balancing geographic proximity with route priority and criticality so field coaching is both optimal and executable.

This role sits at the intersection of agentic AI, recommendation systems, and operations research, working closely with data, platform, and business teams across the end-to-end AI Factory cycle — from governed features and data to model development, orchestration, and productionization. Strong technical depth, business sense, and ownership are essential to succeed in this fast-paced, collaborative environment. 

🚀 What We Do:

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships:

  • Amazon Web Services
  • Astronomer
  • Databricks

🌟 Our Values:

  • 📊 We are Data Nerds
  • 🤗 We are Open Team Players
  • 🚀 We Take Ownership
  • 🌟 We Have a Positive Mindset

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓:

  • Design and build the agentic AI architecture that generates and prioritizes actionable insights for sales leaders, deciding which ones truly matter based on management focus, coaching needs, and performance.
  • Model the coaching route recommendation as a routing optimization problem, balancing geographic proximity and route priority/criticality while avoiding inefficient trips (e.g., coaching a pre-seller for an hour and then sending them to another city).
  • Integrate business signals (potential, execution, compliance, pre-seller KPIs) so coaching recommendations make sense both operationally and geographically.
  • Enable agentic decision-making on coaching optimality: the AI agent evaluates and adjusts recommendations based on time, distance, and criticality constraints.
  • Package the model under the MFL framework (PyFunc, model_card, tests) and integrate it with orchestration and deployment to operations.

Required Skills 🚀:

  • Proven experience as a Data Scientist / Modeler in supervised machine learning and recommendation or prioritization systems.
  • Hands-on experience in agentic AI development (designing AI agents that make decisions).
  • Experience in optimization / operations research: routing, VRP, constrained optimization.
  • Advanced Python (scikit-learn; optimization libraries such as OR-Tools, Pyomo, PuLP, or similar).
  • Experience with MLflow and model development in Databricks.
  • Experience working with geospatial / routing data (distances, geolocation).

Nice to Have 😉:

  • Previous experience with sales forces, commercial coaching, or field/route optimization solutions.
  • Experience developing AI agents / agentic infrastructure (e.g., Mosaic AI Agent Framework, agent orchestration, MCP).
  • Familiarity with Unity Catalog, Databricks Asset Bundles, and Azure DevOps.
  • Location: Mexico City (Santa Fe / Cuajimalpa) preferred, though the role is not strictly on-site and we’re open to other locations.

🎁 Perks:

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

Source: Muttdata careers (Lever)

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