Agile Engine is an Inc. 5000 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 Sage Maker 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 Click House; Experience collaborating with backend engineering teams using containerized workflows or modern package ecosystems.

PERKS AND BENEFITS

Professional growth: Mentorship, Tech Talks, 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: Adaptable schedule with remote and office options.

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📌 Senior Data Scientist (MMM) (San Miguel de Tucumán)
🏢 AgileEngine
📍 San Miguel de Tucumán