Senior Data Scientist - Remote AI/ML & MMM Analytics Leader

AgileEngine, LLC.; León; Presencial; MXN 2.063.000 - 3.095.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility (100% remote)

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine seeks a Senior Data Scientist to drive statistical execution and algorithmic validation of Meridian MMM frameworks, translating noisy marketing signals into robust, multi-objective spend recommendations.

You will formulate heuristic baseline models for high-variance datasets, ingest structured data from upstream pipelines, and apply Python with advanced SQL in AWS Athena and PostgreSQL environments.

Formación

• 5–7 years of professional data science experience.
• Experience applying Meridian MMM on real-world data.
• Strong Python backend skills with typing and schemas.
• Comfort using Mac/Linux terminal (Bash, etc.).
• Advanced SQL to extract and prepare data in cloud warehouses (AWS Athena, PostgreSQL).
• Excellent communication to defend methods against shortcuts.

Responsabilidades

• Expand framework configurations to factor multi-layer client objectives.
• Formulate robust heuristic models for high-variance data.
• Ingest structured data from upstream pipelines for experimentation.
• Apply AI-assisted tools while validating analyses before deployment.
• Collaborate daily with engineering teams to resolve pipeline needs.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM

Python

SQL

Terminal

Communication

Herramientas

Docker

Kubernetes

AWS

PostgreSQL

Descripción del empleo

AgileEngine seeks a Senior Data Scientist to drive statistical execution and algorithmic validation of Meridian MMM frameworks, translating noisy marketing signals into robust, multi-objective spend recommendations.

You will formulate heuristic baseline models for high-variance datasets, ingest structured data from upstream pipelines, and apply Python with advanced SQL in AWS Athena and PostgreSQL environments.