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.
We are looking for a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of client-specific Meridian MMM frameworks, translating noisy marketing signals and low-resolution data matrices into trusted, multi-objective spend recommendations. You will formulate heuristic baseline models for high-variance datasets, ingest structured data from upstream pipelines for client-isolated experimentation, and apply Python with advanced SQL against AWS Athena and PostgreSQL environments.
Expand framework configurations to natively factor in multi-layered client objectives, such as separating mid-funnel brand awareness metrics from immediate revenue generation targets.




Safely ingest highly structured fields derived from upstream single source of truth data pipelines to execute client-isolated experimentation.
Leverage modern AI-assisted IDE tools to expedite data transformations while applying strict analytical validation to catch tool errors or structural flaws before deployment.
Collaborate daily with internal engineering cross-functions via Slack and Google Meet to rapidly resolve ambiguous pipeline requirements or technical dependencies.
5–7 years of professional data science experience, emphasizing time-series analysis, prior distributions, or high-complexity attribution modeling
~ Clear, verifiable experience applying or testing the Meridian MMM framework on real-world datasets.
~ Strong backend proficiency using Python , specifically leveraging tools that reinforce static type systems and structured schemas.
~ Absolute comfort operating entirely inside standard Mac/Linux terminal infrastructure using Bash, shell utilities, and text-based tools
~ Pr

📌 Senior Data Scientist (Santiago)
🏢 Agileengine
📍 Santiago