Senior Data Scientist - Remote MMM & Time-Series Analytics

AgileEngine, LLC.; Bogotá; Presencial; COP 120.000.000 - 240.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Remote work

Meaningful projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, LLC. seeks a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks in client projects.

You will translate noisy signals and low-resolution data into trusted, multi-objective spend recommendations using Python with advanced SQL against AWS Athena and PostgreSQL environments. You will expand framework configurations for multi-objective goals, build robust heuristic models for high-variance data, and collaborate with engineering

Formación

• 5–7 years of professional data science experience with time-series or attribution modeling.
• Experience applying Meridian MMM framework on real-world datasets.
• Strong Python backend skills with type-safe tooling.
• Comfort operating in Mac/Linux terminal using Bash and text-based tools.
• Proficient in writing advanced queries for AWS Athena or PostgreSQL.
• Excellent communication and ability to defend methodologies against shortcuts.

Responsabilidades

• Expand framework configurations to multi-objective client goals.
• Formulate robust heuristic models for high-variance data.
• Ingest structured fields from upstream pipelines for experiments.
• Leverage AI-assisted IDEs for data transformations with validation.
• Collaborate with engineering teams daily to resolve pipeline requirements.

Conocimientos

Time-series analysis

Meridian MMM framework

Python

Bash / command line

Advanced queries

Communication skills

Mac/Linux terminal

Herramientas

AWS Athena

PostgreSQL

Docker

Kubernetes

Descripción del empleo

AgileEngine, LLC. seeks a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks in client projects.

You will translate noisy signals and low-resolution data into trusted, multi-objective spend recommendations using Python with advanced SQL against AWS Athena and PostgreSQL environments. You will expand framework configurations for multi-objective goals, build robust heuristic models for high-variance data, and collaborate with engineering