Senior Data Scientist - MMM & Time-Series (Remote)

Accenture Argentina; Partido de Quilmes; A distancia; ARS 181.094.000 - 241.458.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work

Modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

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

You will ingest structured data from upstream pipelines and apply Python with advanced SQL against AWS Athena and PostgreSQL environments, collaborating with engineering teams to ensure robust, auditable analyses.

Formación

• 5–7 years of professional data science experience with time-series analysis or attribution modeling.
• Experience applying Meridian MMM framework on real-world datasets.
• Strong backend proficiency using Python and type-safe tools.
• Comfort with Mac/Linux terminal and Bash tooling.
• Proficient in writing advanced SQL queries for cloud data stores like AWS Athena and PostgreSQL.
• Excellent communication to defend methodological choices.

Responsabilidades

• Expand MMM framework configurations to account for multi-layered client objectives.
• Develop robust heuristic models for high-variance datasets.
• Ingest structured data from upstream pipelines for client-specific experimentation.
• Utilize AI-assisted IDEs to speed up transformations with validated results.
• Collaborate daily with engineering teams to resolve pipeline requirements.

Conocimientos

Time-series analysis

Prior distributions

Attribution modeling

Meridian MMM framework

Python

Mac/Linux terminal

Advanced SQL

Strong communication

Herramientas

Python

AWS Athena

PostgreSQL

Descripción del empleo

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

You will ingest structured data from upstream pipelines and apply Python with advanced SQL against AWS Athena and PostgreSQL environments, collaborating with engineering teams to ensure robust, auditable analyses.