Description review
# 7 - Senior AI Data Scientist / Modeler - Databricks - Latam
Mutt Data · Remote - Peru · back to the listing
HR standards
62/100
needs work
Title ↔ description
80/100
solid
Reads as
Data Scientist
86% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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What the listing never says
- 34 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
🚀 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!
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!