Senior Data Scientist — Remote, Flexible Hours, MMM Analytics

Agileengine

Buenos Aires

Híbrido

ARS 137.587.000 - 198.737.000

Jornada completa

Hace 5 días
Sé de los primeros/as/es en solicitar esta vacante
Generador de candidaturas

Transforma esta oferta en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

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Ventajas ofrecidas por este puesto de trabajo

Growth
Compensation
Remote work
Projects
Culture
Well-being

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of Meridian MMM frameworks, translating noisy marketing signals and low-resolution data matrices into trusted, multi-objective spend recommendations.

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

Formación

  • 5–7 years of data science experience focusing on time-series or attribution modeling.
  • Experience applying Meridian MMM framework on real-world datasets.
  • Strong Python backend with type systems and schemas.
  • Comfort in Mac/Linux terminal using Bash and text tools.
  • Proficient in extracting data from AWS Athena and PostgreSQL.
  • Ability to defend methods and avoid shortcuts with stakeholders.

Responsabilidades

  • Expand framework configurations to handle multi-layer client objectives.
  • Formulate heuristic models and backup strategies for high-variance data.
  • Ingest structured fields from upstream pipelines for experimentation.
  • Use AI-assisted IDEs to accelerate data transformations and validation.
  • Collaborate daily with engineering teams via Slack and Meet.

Conocimientos

Python
Time-series analysis
Meridian MMM
Advanced SQL
Bash/Linux terminal
Cloud data (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 Meridian MMM frameworks, translating noisy marketing signals and low-resolution data matrices into trusted, multi-objective spend recommendations.

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

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