Senior Data Scientist - MMM & Time-Series (Remote)

AgileEngine, LLC.; León; Presencial; MXN 2.042.000 - 3.063.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of Meridian MMM frameworks. You will translate noisy marketing signals into trusted, multi-objective spend recommendations and build heuristic baseline models for high-variance datasets.

Based in a fully remote environment, you will ingest structured data from upstream pipelines and apply Python with advanced SQL against AWS Athena and PostgreSQL.

Formación

• 5–7 years of professional data science experience with time-series or high-complexity attribution modeling.
• Proven experience applying Meridian MMM framework on real-world data.
• Strong Python backend skills with type-safe tools and schemas.
• Comfort using Mac/Linux terminal, Bash, and text utilities.
• Proficient in writing advanced SQL for AWS Athena and PostgreSQL.
• Ability to defend methodologies against shortcuts and maintain calculation validity.

Responsabilidades

• Expand framework configurations to account for multi-layered client objectives.
• Develop robust heuristic models and fallback strategies for high-variance data.
• Ingest structured fields from upstream data pipelines for client experiments.
• Utilize AI-assisted IDEs to speed up data transformations with strict validation.
• Collaborate daily with engineering teams via Slack and Google Meet to align pipelines.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM framework

Python

Bash / shell

Advanced SQL

Data validation

Herramientas

AWS Athena

PostgreSQL

Docker

Kubernetes

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of Meridian MMM frameworks. You will translate noisy marketing signals into trusted, multi-objective spend recommendations and build heuristic baseline models for high-variance datasets.

Based in a fully remote environment, you will ingest structured data from upstream pipelines and apply Python with advanced SQL against AWS Athena and PostgreSQL.