Senior Data Scientist - Remote MMM Analytics & Impact

AgileEngine; Santiago de Querétaro; Presencial; MXN 900.000 - 1.300.000; 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 is an Inc. 5000 company delivering software for Fortune 500 brands and startups across 17+ industries.

We are seeking a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of Meridian MMM frameworks, translating signals into multi-objective spend recommendations. You will ingest structured data from pipelines, apply Python with advanced SQL against AWS Athena and PostgreSQL, and collaborate with cross-functional teams.

Formación

• : 5–7 years of professional data science experience, emphasizing time-series analysis, prior distributions, or high-complexity attribution modeling.

Responsabilidades

• Expand framework configurations to natively factor in multi-layered client objectives.
• Formulate robust heuristic models and pragmatic backup strategies for high-variance datasets.
• Ingest structured fields from upstream data pipelines for client-isolated experimentation.
• Use AI-assisted IDE tools for data transformations with strict validation.
• Collaborate with engineering teams to resolve pipeline requirements and dependencies.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM framework

Python

Mac/Linux terminal

SQL queries

AWS Athena

PostgreSQL

English proficiency

Herramientas

Docker

Kubernetes

Descripción del empleo

AgileEngine is an Inc. 5000 company delivering software for Fortune 500 brands and startups across 17+ industries.

We are seeking a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of Meridian MMM frameworks, translating signals into multi-objective spend recommendations. You will ingest structured data from pipelines, apply Python with advanced SQL against AWS Athena and PostgreSQL, and collaborate with cross-functional teams.