Senior Data Scientist - Remote, Flexible Hours, Growth

AgileEngine, LLC.; Perímetro Urbano Manizales; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: remote work with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

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.

The role focuses on translating noisy marketing signals into trusted, multi-objective spend recommendations and involves ingesting structured data from upstream pipelines for client-isolated experimentation. You will apply Python with advanced SQL against AWS Athena and PostgreSQL environments, working closely with engineering

Formación

• 5–7 years of professional data science experience emphasizing time-series analysis, prior distributions, or high-complexity attribution modeling.

Responsabilidades

• Expand framework configurations to factor in multi-layered client objectives (e.g., separating mid-funnel brand metrics from immediate revenue targets).
• Formulate robust heuristic models and backup strategies to generate valid insights with high-variance data.
• Ingest structured fields from upstream data pipelines to support client-isolated experimentation.
• Leverage AI-assisted IDE tools to expedite data transformations with strict validation before deployment.
• Collaborate daily with engineering teams via Slack and Google Meet to resolve pipeline requirements.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM framework

Python

Data-driven decision making

Herramientas

AWS Athena

PostgreSQL

SQL

Mac/Linux terminal

Bash

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.

The role focuses on translating noisy marketing signals into trusted, multi-objective spend recommendations and involves ingesting structured data from upstream pipelines for client-isolated experimentation. You will apply Python with advanced SQL against AWS Athena and PostgreSQL environments, working closely with engineering