Senior Data Scientist - MMM & Marketing Analytics (Remote)

AgileEngine, LLC.; Región Centro; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Scientist to drive rigorous statistical execution and validation of Meridian MMM frameworks, translating noisy marketing signals into multi-objective spend recommendations.

You will use Python with advanced SQL in AWS Athena and PostgreSQL environments, collaborating with client data pipelines and a cross-functional team. The role emphasizes building heuristic models for high-variance datasets, ingesting structured data, and ensuring analytical accuracy

Formación

• 5–7 years of professional data science experience focusing on time-series or high-complexity attribution modeling.
• Experience applying Meridian MMM framework on real-world datasets.
• Proficiency in Python with strong SQL and backend Linux/macOS terminal skills.

Responsabilidades

• Extend framework configs to include multi-objective client goals.
• Develop robust heuristic models for high-variance data.
• Ingest structured upstream data for client-isolated experiments.
• Use AI-assisted IDEs to speed data transformations with validation.
• Collaborate with engineering teams via Slack and Meet to resolve needs.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM

Python

SQL

Herramientas

AWS Athena

PostgreSQL

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Scientist to drive rigorous statistical execution and validation of Meridian MMM frameworks, translating noisy marketing signals into multi-objective spend recommendations.

You will use Python with advanced SQL in AWS Athena and PostgreSQL environments, collaborating with client data pipelines and a cross-functional team. The role emphasizes building heuristic models for high-variance datasets, ingesting structured data, and ensuring analytical accuracy