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
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- 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.
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- Remote-first culture – work from anywhere! 🌍 - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 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.
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.
- Astronomer - Databricks 🌟 Our Values
- 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).
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Remote - Latam
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🚀 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.
- 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
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