Senior Data Scientist - Remote, MMM & Time-Series Expert

AgileEngine, LLC.; Monterrey; Presencial; MXN 2.095.704 - 3.143.556; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

100% remote with flexible hours

Modern projects with global teams

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Scientist to drive 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 formulate heuristic baseline models for high-variance datasets. You will ingest structured data from upstream pipelines for client-isolated experiments and apply Python with advanced SQL against AWS Athena and PostgreSQL environments.

Formación

• 5-7 years of professional data science experience with time-series or high-complexity attribution modeling.
• Experience applying or testing the Meridian MMM framework on real-world datasets.
• Strong backend proficiency using Python with static type systems.
• Comfort using Mac/Linux terminal (bash, shell) for data tasks.
• Proficient in writing advanced SQL for cloud systems like AWS Athena or PostgreSQL.
• Strong communication to defend methodological choices.

Responsabilidades

• Expand framework configurations to factor multi-layered client objectives.
• Formulate robust heuristic models for high-variance datasets.
• Ingest structured fields from upstream data pipelines for experimentation.
• Use AI-assisted IDE tools to speed data transformations with validation.
• Collaborate daily with engineering teams to resolve pipeline requirements.

Conocimientos

Time-series analysis

Attribution modeling

Python proficiency

SQL querying

Mac/Linux terminal

Communication skills

Problem solving

Herramientas

Python

SQL

AWS Athena

PostgreSQL

Docker

Kubernetes

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Scientist to drive 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 formulate heuristic baseline models for high-variance datasets. You will ingest structured data from upstream pipelines for client-isolated experiments and apply Python with advanced SQL against AWS Athena and PostgreSQL environments.