Best suited to candidates with experience in agentic AI and optimization systems working in the beverage industry.
Derived from job-description analysis by Serendipath's career intelligence engine.
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.
We are looking for a Senior Data Scientist to join our team 🐶🚀. You'll be responsible for designing, developing, and enhancing advanced Pricing and Revenue Growth Management (RGM) models, turning data on demand, pricing, product portfolios, sales channels, and consumer behavior into actionable insights that drive strategic business decisions.
In this role, you'll combine Machine Learning, statistics, econometrics, and business expertise to build predictive models, analyze price-demand relationships, estimate price elasticities, and optimize pricing strategies.
You'll work closely with business stakeholders, Data Engineers, and Machine Learning Engineers to develop scalable, statistically robust solutions that support commercial decision-making. Strong analytical thinking, business understanding, and the ability to translate complex data into actionable recommendations are essential to succeed in this 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)