Senior Data Scientist, Meridian MMM — Remote & Flexible

AgileEngine, LLC.; Perímetro Urbano Barranquilla; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility — 100% remote

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, translating noisy marketing signals and low-resolution data into trusted, multi-objective spend recommendations.

You will formulate heuristic baseline models for high-variance datasets and ingest structured data from upstream pipelines for client-isolated experimentation, applying Python with advanced SQL against AWS Athena and

Formación

• 5–7 years of professional data science experience with time-series or attribution modeling.
• Experience applying Meridian MMM on real-world datasets.
• Strong Python backend with type safety and structured schemas.
• Comfort operating in Mac/Linux terminal environments (Bash, shell utilities).
• Proficiency writing advanced SQL for AWS Athena and PostgreSQL.
• Strong communication to defend methodologies against shortcuts.

Responsabilidades

• Expand framework configurations to incorporate multi-layered client objectives.
• Formulate robust heuristic models for high-variance datasets.
• Ingest structured fields from upstream data pipelines for client-isolated experiments.
• Leverage AI-assisted tools to expedite data transformations with rigorous validation.
• Collaborate with engineering teams via Slack and Meet to resolve pipeline requirements.

Conocimientos

Meridian MMM framework

Time-series analysis

Python

SQL

AWS Athena

PostgreSQL

Bash / Linux terminal

Communication

Herramientas

Docker

Kubernetes

Git

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, translating noisy marketing signals and low-resolution data into trusted, multi-objective spend recommendations.

You will formulate heuristic baseline models for high-variance datasets and ingest structured data from upstream pipelines for client-isolated experimentation, applying Python with advanced SQL against AWS Athena and