Senior Data Scientist: Remote MMM & Time-Series Expert

AgileEngine, LLC.; Bogotá; Presencial; COP 180.000.000 - 280.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work

Meaningful projects

Collaborative culture

Well-being programs

Descripción de la vacante

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

You will formulate heuristic baseline models, ingest structured data from upstream pipelines for client-isolated experimentation, and apply Python with advanced SQL against AWS Athena and PostgreSQL environments.

Formación

• 5-7 years of professional data science experience with time-series or attribution modeling.
• Proven Meridian MMM framework experience on real-world datasets.
• Strong Python backend skills with typed code and structured schemas.
• Comfort with Mac/Linux terminal, Bash, and text utilities.
• Proficient in writing advanced queries for AWS Athena or PostgreSQL.

Responsabilidades

• Expand framework configurations to include multi-layered client objectives.
• Formulate robust heuristic models and backup strategies for high-variance data.
• Ingest structured fields from upstream data pipelines for experimentation.
• Use AI-assisted IDE tools to speed data transformations with validation.
• Collaborate daily with engineering teams to resolve pipeline requirements.

Conocimientos

Time-series analysis

Attribution modeling

Strong communication

Problem solving

Data-driven decision making

Analytical thinking

Herramientas

Python

AWS Athena

PostgreSQL

SQL

Bash

Docker

Kubernetes

Descripción del empleo

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

You will formulate heuristic baseline models, ingest structured data from upstream pipelines for client-isolated experimentation, and apply Python with advanced SQL against AWS Athena and PostgreSQL environments.