Senior Data Scientist — Remote, MMM & AI/ML Analytics

AgileEngine, LLC.; San Miguel de Tucumán; Presencial; ARS 181.094.000 - 271.641.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work 100%

Descripción de la vacante

AgileEngine is seeking 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 low-resolution data matrices into trusted, multi-objective spend recommendations.

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

Formación

• 5–7 years of professional data science experience with time-series or attribution modeling.
• Experience applying Meridian MMM framework to real datasets.
• Strong Python backend development with typed tooling.
• Proficient in Mac/Linux terminal and Bash tooling.
• Ability to write advanced SQL for AWS Athena and PostgreSQL.
• Excellent communication to defend methodologies.

Responsabilidades

• Expand framework configurations to factor multi-layered client objectives.
• Develop robust heuristic models for high-variance datasets.
• Ingest structured upstream data for client-isolated experimentation.
• Use AI-assisted IDEs to speed transformations while ensuring validation.
• Collaborate daily with engineering and analytics teams to resolve pipeline requirements.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM framework

Python

Static typing in Python

Mac/Linux terminal

Advanced SQL

AWS Athena

PostgreSQL

Herramientas

Docker

Kubernetes

Descripción del empleo

AgileEngine is seeking 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 low-resolution data matrices into trusted, multi-objective spend recommendations.

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