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.
Senior Data Scientist
Location
Colombia
Posted
6 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
AgileEngine
Role Description 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. Qualifications - 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. Requirements - 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. 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 : Flexible schedule with remote and office options.
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