Job Description AgileEngine is an Inc. **** 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.
WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE 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.
WHAT YOU WILL DO - Expand framework configurations to natively factor in multi-layered client objectives, such as separating mid-funnel brand awareness metrics from immediate revenue generation targets.
- Formulate robust heuristic models and pragmatic backup strategies to generate valid analytical insights when working with limited or high-variance customer datasets.
- 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.




MUST HAVES - 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 .
- Proficiency writing advanced queries to extract and prepare data housed in cloud systems such as AWS Athena or PostgreSQL environments .
- Strong communication skills, specifically the assertiveness to defend a technical or mathematical methodology against a project shortcut that threatens calculation validity.
- Upper-intermediate English level.
NICE TO HAVES - Familiarity with containerized applications managed under Docker or basic Kubernetes infrastructure paradigms.
- Practical knowledge of structural time-series models, Bayesian inference techniques, or custom Markov Chain Monte Carlo (MCMC) configurations.
- Prior experience dealing with multi-account privacy boundaries and strict compliance mandates regarding client data partitioning.
- Background in analyzing digital platform performance APIs, such as Google Ads, Amazon Advertising, or YouTube Data systems.




PERKS AND BENEFITS - Growth without limits : build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation : get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility : work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects : build impactful products using modern technologies alongside integral teams and leading brands - Collaborative culture : join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being support : access local well-being programs and people-focused support tailored to your location Requirements 5–7 years of professional data science experience, emphasizing time-series analysis, prior distributions, or high-complexity attribution modeling.
Hands-on Meridian Exposure: Clear, verifiable experience applying or testing the Meridian MMM framework on real-world datasets.
Production Python Engineering: Strong backend proficiency using Python (specifically leveraging tools that reinforce static type systems and structured schemas).
Terminal-Centric Fluency: Absolute comfort operating entirely inside standard Mac/Linux terminal infrastructure (using Bash, shell utilities, and text-based tools).
Data Layer Familiarity: Proficiency writing advanced queries to extract and prepare data housed in cloud systems (such as AWS Athena or PostgreSQL environments).
Opinionated Communication Skills: Strong soft skills, specifically the assertiveness to defend a technical or mathematical methodology against a project shortcut that threatens calculation validity.

📌 Senior Data Scientist – Mmm Id71005 (San Carlos de Bariloche)
🏢 AgileEngine
📍 San Carlos de Bariloche