Senior Data Scientist (MMM & Time-Series) - Remote

AgileEngine, LLC.

Metropolitana

Presencial

COP 120.000.000 - 210.000.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Growth opportunities
Competitive pay
Remote-friendly
Impactful projects
Collaborative culture
Well-being programs

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. 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, apply Python with advanced SQL against AWS Athena and PostgreSQL, and collaborate daily with engineers to ensure

Formación

  • 5–7 years of professional data science experience with time-series/attribution modeling.
  • Experience applying Meridian MMM framework on real datasets.
  • Strong Python backend skills with type-safe tools.
  • Proficiency in Bash/Unix terminal workflows.

Responsabilidades

  • Expand framework configurations to include multi-objective client goals.
  • Formulate robust heuristic models for high-variance datasets.
  • Ingest structured data from upstream pipelines for client experimentation.
  • Apply AI-assisted tools for data transformations with strict validation.

Conocimientos

Time-series analysis
Meridian MMM framework
Python
SQL
Bash/Unix shell
Communication skills

Herramientas

Docker
Kubernetes

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. 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, apply Python with advanced SQL against AWS Athena and PostgreSQL, and collaborate daily with engineers to ensure

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