AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Scientist to lead the implementation of a Marketing Mix Modeling framework into a cross-channel optimization product, building client-specific MMM models using Bayesian frameworks including Meridian and Robin.
You will develop scalable, production-ready models using Python, SQL, and AWS infrastructure, design human-in-the-loop feedback systems to improve model accuracy over time, and collaborate with MLOps teams to define the foundational infrastructure for ML deployment.
The role requires 5+ years of data science experience with autonomous, end-to-end model ownership.
WHAT YOU WILL DO
Develop and scale client-specific Marketing Mix Modeling (MMM) models using Meridian or Robin rather than a single monolithic model;
Build pragmatic baseline models to handle noisy marketing data and thin data tiers for new clients;
Treat ML training as an operations problem by utilizing AWS tools to train and deploy models;




Collaborate with internal MLOps teams to define the foundational infrastructure for deploying machine learning models to production.
MUST HAVES
5+ years of commercial data science experience with a proven track record of operating autonomously;
Experience building and maintaining machine learning models, including choosing the approach, shaping the data, diagnosing problems, and iterating;
Demonstrated experience with Bayesian frameworks such as PyMC or Stan, or Marketing Mix Modeling (MMM) tooling;
Strong proficiency in Python and SQL;
Solid experience building and deploying models using AWS infrastructure such as SageMaker Studio or EC2;
Strong foundation working with relational databases such as PostgreSQL or MySQL to pull, clean, and manipulate large data tiers;
Upper-intermediate English level.
NICE TO HAVES
Deep customization experience with Google Meridian;
Experience building or designing human-in-the-loop machine learning workflows;
Exposure to cloud data lakes and analytical databases such as AWS Athena or ClickHouse;
Experience collaborating with backend engineering teams using containerized workflows or modern package ecosystems.
PERKS AND BENEFITS
Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Exciting projects: Modern solutions with Fortune 500 and top product companies.
Flextime: Versátil schedule with remote and office options.
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📌 Senior Data Scientist (Mmm) Id71005 (Valle del Cauca)
🏢 Agileengine
📍 Valle del Cauca