Senior Data Scientist, Meridian MMM - Remote Impact

AgileEngine, LLC.; Pereira; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote-friendly

Descripción de la vacante

AgileEngine in Colombia seeks a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of Meridian MMM frameworks, translating noisy signals and low-resolution data into trusted, multi-objective spend recommendations.

You will form heuristic baselines and ingest structured data from upstream pipelines for client-isolated experiments using Python with advanced SQL against AWS Athena and PostgreSQL.

Formación

• 5–7 years of professional data science experience, focusing on time-series analysis or attribution modeling.
• Experience applying Meridian MMM framework on real-world datasets.
• Strong Python backend skills with emphasis on typing and schemas.
• Comfort working in Mac/Linux terminal environments using Bash and shell utilities.
• Proficient in writing advanced queries to extract data from cloud data stores such as AWS Athena and PostgreSQL.

Responsabilidades

• Expand framework configurations to account for multi-layered client objectives.
• Develop robust heuristic models for high-variance datasets.
• Ingest structured data from upstream pipelines for client-isolated experimentation.
• Utilize Python with SQL to transform data in AWS Athena and PostgreSQL.
• Collaborate daily with engineering teams to resolve pipeline requirements and dependencies.

Conocimientos

Time-series analysis

High-complexity attribution modeling

Meridian MMM framework

Python backend

Mac/Linux terminal

Advanced queries

Communication skills

Herramientas

AWS Athena

PostgreSQL

Bash / Shell utilities

Descripción del empleo

AgileEngine in Colombia seeks a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of Meridian MMM frameworks, translating noisy signals and low-resolution data into trusted, multi-objective spend recommendations.

You will form heuristic baselines and ingest structured data from upstream pipelines for client-isolated experiments using Python with advanced SQL against AWS Athena and PostgreSQL.