Senior Data Scientist — MMM & Time‑Series (Remote)

AgileEngine, LLC.; Rosario; Presencial; ARS 1.200.000 - 2.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive pay

Remote work

Modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive statistical execution and multi-objective optimization of Meridian MMM frameworks, translating signals into trusted spend recommendations.

You will ingest structured data from upstream pipelines, develop heuristic baseline models for high-variance datasets, and apply Python with SQL in AWS Athena and PostgreSQL environments. Remote-friendly with global teams.

Formación

• 5–7 years of professional data science experience with time-series analysis or high-complexity attribution modeling.
• Direct experience applying Meridian MMM on real-world datasets.
• Strong Python backend skills with statically typed tools and schemas.
• Comfort working in Mac/Linux terminal environments with Bash.
• Proficiency writing advanced SQL for cloud data stores (AWS Athena, PostgreSQL).
• Excellent communication to defend methods and avoid shortcuts.

Responsabilidades

• Expand framework configurations to incorporate multi-objective client goals.
• Formulate robust heuristic models for high-variance datasets.
• Ingest structured upstream data for client-isolated experimentation.
• Utilize AI-assisted IDEs for data transformations with rigorous validation.
• Collaborate daily with engineering and data teams via Slack and Google Meet.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM framework

Python

Bash/Linux

Advanced SQL

Communication

Herramientas

Docker

Kubernetes

AWS Athena

PostgreSQL

Unix shell

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive statistical execution and multi-objective optimization of Meridian MMM frameworks, translating signals into trusted spend recommendations.

You will ingest structured data from upstream pipelines, develop heuristic baseline models for high-variance datasets, and apply Python with SQL in AWS Athena and PostgreSQL environments. Remote-friendly with global teams.