Senior Data Scientist: Remote MMM & Time-Series Expert

AgileEngine, LLC.; Bogotá ciudad; Presencial; COP 373.680.000 - 560.521.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth budget

Competitive pay

Remote flexibility

Global teams

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, LLC. seeks a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of client-specific Meridian MMM frameworks, translating noisy marketing signals and high-variance data into trusted, multi-objective spend recommendations.

You will ingest structured data from upstream pipelines and apply Python with advanced SQL against AWS Athena and PostgreSQL environments, collaborating with internal engineering teams daily.

Formación

• 5–7 years of professional data science experience focusing on time-series analysis and complex attribution modeling.
• Direct experience applying or testing Meridian MMM on real-world data.
• Strong Python backend skills with static typing and schema usage.
• Proficiency with Mac/Linux terminal, Bash, and text utilities.
• Advanced SQL skills to extract data from AWS Athena and PostgreSQL.
• Excellent communication to defend methods against shortcuts.

Responsabilidades

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

Conocimientos

Python

Time-series analysis

Meridian MMM framework

Advanced SQL

AWS Athena

PostgreSQL

Mac/Linux terminal

Communication skills

Herramientas

Docker

Kubernetes

Descripción del empleo

AgileEngine, LLC. seeks a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of client-specific Meridian MMM frameworks, translating noisy marketing signals and high-variance data into trusted, multi-objective spend recommendations.

You will ingest structured data from upstream pipelines and apply Python with advanced SQL against AWS Athena and PostgreSQL environments, collaborating with internal engineering teams daily.