Senior Data Scientist — Remote, Flexible Hours

AgileEngine; Córdoba; Presencial; COP 277.675.000 - 462.792.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work 100%

Flexible hours

Learning budget

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks, turning noisy signals into trusted multi-objective spend recommendations.

You will formulate heuristic baselines for high-variance data and ingest data from upstream pipelines for client-isolated experiments, using Python with advanced SQL in AWS Athena and PostgreSQL environments.

Formación

• 5–7 years of professional data science experience with time-series analyses, distributions, or high-complexity attribution modeling.
• Verifiable experience applying Meridian MMM on real datasets.
• Strong backend Python skills with type-safe, structured schemas.
• Comfort operating in Mac/Linux terminal environments using Bash and shell utilities.
• Proficiency writing advanced queries for AWS Athena and PostgreSQL.
• Strong communication skills and ability to defend methodologies.
• Upper-intermediate English level.

Responsabilidades

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

Conocimientos

Python

SQL

Time-series

Meridian MMM

Attribution modeling

AWS Athena

PostgreSQL

Bash

Herramientas

Mac/Linux terminal

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks, turning noisy signals into trusted multi-objective spend recommendations.

You will formulate heuristic baselines for high-variance data and ingest data from upstream pipelines for client-isolated experiments, using Python with advanced SQL in AWS Athena and PostgreSQL environments.