Senior Data Scientist (MMM) ID71005

On-siteSalary not specified
Argentina · Brazil · Mexico · Guatemala · Colombia

Tech Stack

PythonSQLPostgreSQLMySQLAWSZustandSageMaker

Job Description, Responsibilities & Requirements

About the Position

We are seeking a Senior Data Scientist (MMM) ID71005 to join AgileEngine and lead the implementation of a Marketing Mix Modeling (MMM) framework into a cross-channel optimization product. You will develop scalable, production-ready models using Bayesian frameworks such as Meridian and Robin, Python, SQL, and AWS infrastructure. This role requires 5+ years of commercial data science experience with a proven track record of operating autonomously.

Responsibilities

  • 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.

Requirements

  • 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 Have

  • 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.

We Offer

  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

About the Company

AgileEngine is ranked by Inc. 5000 among America's fastest-growing private companies. We are a global company with offices in multiple locations including Argentina, Brazil, Colombia, Guatemala, Mexico, Ukraine, Poland, Portugal, and India.

Apply for this position

© 2026 AgileEngine, LLC. All rights reserved

We are social:

Privacy Policy

Job Details

Company name:
AgileEngine
Location:
Argentina · Brazil · Mexico · Guatemala · Colombia
Work Mode:
On-site
Posted on TheJob:
Jul 17, 2026
Last checked:
Jul 17, 2026
Posted on the source:
Jul 13, 2026
Apply Now
© 2026 TheJob, Inc. All rights reserved.