Senior Data Scientist — Remote, Flexible Hours, Growth

AgileEngine, LLC.; Pereira; Presencial; COP 373.680.000 - 560.521.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility - remote 100%

Meaningful projects with global teams

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive statistical execution, multi-goal tuning, and validation of Meridian MMM frameworks. You will translate noisy marketing signals into trusted, multi-objective spend recommendations and ingest structured data from upstream pipelines for client-isolated experiments using Python with advanced SQL against AWS Athena and PostgreSQL environments.

Collaborate daily with internal engineering cross-functions to resolve pipeline requirements, expand

Formación

• 5–7 years of professional data science experience with time-series/attribution modeling.
• Experience applying Meridian MMM framework to real-world data.
• Strong Python backend skills with typed code and schemas.
• Comfort with Mac/Linux terminal, Bash, and command-line tools.
• Proficient SQL querying on cloud data stores like AWS Athena or PostgreSQL.
• Clear communication to defend methodologies and avoid shortcuts.

Responsabilidades

• Expand framework configs to include multi-layer client objectives.
• Formulate robust heuristic models for high-variance datasets.
• Ingest structured data from upstream pipelines for experimentation.
• Use AI-assisted IDEs for data transformations with strict validation.
• Collaborate daily with engineering teams to resolve pipeline requirements.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM

Python

Shell/Bash

SQL

Herramientas

Docker

Kubernetes

AWS Athena

PostgreSQL

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive statistical execution, multi-goal tuning, and validation of Meridian MMM frameworks. You will translate noisy marketing signals into trusted, multi-objective spend recommendations and ingest structured data from upstream pipelines for client-isolated experiments using Python with advanced SQL against AWS Athena and PostgreSQL environments.

Collaborate daily with internal engineering cross-functions to resolve pipeline requirements, expand