Senior Data Scientist (MMM) ID71005
On-site•Salary 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.
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