Senior Data Scientist: Remote, MMM & Time-Series Mastery

AgileEngine; Buenos Aires; Presencial; ARS 135.892.000 - 196.289.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks. You will translate noisy marketing signals into trusted, multi-objective spend recommendations and formulate heuristic baseline models for high-variance datasets.

Strong Python skills, SQL proficiency in AWS Athena and PostgreSQL, and experience in Mac/Linux terminal environments are essential.

Formación

• 5-7 years of professional data science experience, focusing on time-series analysis or high-variance attribution modeling.
• Experience applying Meridian MMM framework on real-world datasets.
• Strong Python backend with static typing and structured schemas.
• Experience using Mac/Linux terminal (Bash, shell utilities).
• Proficient in writing advanced queries for AWS Athena and PostgreSQL.
• Upper-intermediate English.

Responsabilidades

• Expand Meridian frameworks to multi-objective client goals.
• Develop robust heuristic models for high-variance datasets.
• Ingest structured data from upstream pipelines for experiments.
• Use AI-assisted IDEs while ensuring analytical validation before deployment.
• Collaborate daily with engineering teams to resolve pipeline requirements.

Conocimientos

Python

Time-series analysis

Attribution modeling

Meridian MMM framework

SQL

Herramientas

AWS Athena

PostgreSQL

Docker

Kubernetes

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-goal tuning of Meridian MMM frameworks. You will translate noisy marketing signals into trusted, multi-objective spend recommendations and formulate heuristic baseline models for high-variance datasets.

Strong Python skills, SQL proficiency in AWS Athena and PostgreSQL, and experience in Mac/Linux terminal environments are essential.