Senior Data Scientist (MMM) ID71005

AgileEngine 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.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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.

- 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.

- 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.

- 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.

- 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: Flexible schedule with remote and office options.