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

AgileEngine, LLC.; Rosarito; Presencial; MXN 2.042.000 - 2.893.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: remote

Meaningful projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning for Meridian MMM frameworks across client workstreams. You will translate noisy signals into trusted, multi-objective spend recommendations using Python and SQL against AWS Athena and PostgreSQL.

Join a people-first, remote-friendly culture with growth opportunities, dedicated learning budgets, and modern projects across global brands.

Formación

• 5–7 years of professional data science experience with time-series analysis or high-complexity attribution modeling.
• Verifiable experience applying Meridian MMM framework on real-world datasets.
• Strong Python backend development and typing/structured schemas.
• Comfort operating in Mac/Linux terminal environments using Bash and related tools.
• Ability to write advanced SQL queries against AWS Athena or PostgreSQL.
• Excellent communication to defend methods against shortcuts.

Responsabilidades

• Expand framework configurations to incorporate multi-objective client goals.
• Formulate heuristic models and backups for high-variance datasets.
• Ingest structured upstream data for client-isolated experimentation.
• Use AI-assisted IDE tools while validating analytics before deployment.
• Collaborate with engineering teams via Slack and Google Meet to resolve dependencies.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM framework

Python

Herramientas

AWS Athena

PostgreSQL

Docker

Kubernetes

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning for Meridian MMM frameworks across client workstreams. You will translate noisy signals into trusted, multi-objective spend recommendations using Python and SQL against AWS Athena and PostgreSQL.

Join a people-first, remote-friendly culture with growth opportunities, dedicated learning budgets, and modern projects across global brands.