Senior Data Scientist, MMM Analytics — Remote

AgileEngine, LLC.; Capital; Presencial; COP 140.000.000 - 220.000.000; 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 seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks. You will translate noisy signals into trusted spend recommendations, formulate heuristic baseline models, and apply Python with advanced SQL in AWS Athena/PostgreSQL environments.

You will ingest structured data from upstream pipelines for client-isolated experiments, validate results, and collaborate with engineering teams daily to resolve pipeline

Formación

• 5–7 years of professional data science experience focused on time-series and high-variance data.
• Experience applying Meridian MMM framework on real-world datasets.
• Strong backend proficiency using Python and structured schemas.

Responsabilidades

• Expand framework configurations to factor client objectives and marketing metrics.
• Develop robust heuristic models for high-variance datasets and limited data.
• Ingest structured upstream data for client-isolated experimentation.
• Use AI-assisted tools to speed up data transformations with rigorous validation.
• Collaborate with engineering teams to resolve pipeline requirements.

Conocimientos

Time-series analysis

Attribution modeling

Communication skills

Herramientas

Python

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks. You will translate noisy signals into trusted spend recommendations, formulate heuristic baseline models, and apply Python with advanced SQL in AWS Athena/PostgreSQL environments.

You will ingest structured data from upstream pipelines for client-isolated experiments, validate results, and collaborate with engineering teams daily to resolve pipeline