Senior Data Scientist - Remote, Growth & Attribution

AgileEngine; Rosario; Presencial; ARS 135.892.000 - 226.487.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and algorithmic validation of Meridian MMM frameworks. You will translate noisy marketing signals into multi-objective spend recommendations, build baseline models for high-variance datasets, and ingest structured data for client-isolated experimentation.

You will use Python and advanced SQL in AWS Athena and PostgreSQL, collaborating with engineering teams to ensure robust, validated data pipelines and

Formación

• 5-7 years of professional data science experience with time-series analysis, attribution modeling, or related complex modeling.
• Verifiable experience applying the Meridian MMM framework on real-world datasets.
• Strong backend Python skills with static typing and structured schemas.
• Proficient in Mac/Linux terminal environments using Bash and shell utilities.
• Advanced SQL skills for extracting and preparing data in AWS Athena and PostgreSQL.

Responsabilidades

• Expand framework configurations to incorporate multi-objective client goals.
• Formulate robust heuristic models and backup strategies for high-variance data.
• Ingest structured data from upstream pipelines for client-isolated experiments.
• Utilize AI-assisted tools to accelerate data transformations with rigorous validation.
• Collaborate daily with engineering teams to resolve pipeline requirements and dependencies.

Conocimientos

Time-series analysis

Meridian MMM framework

Python programming

SQL queries

English communication

Herramientas

AWS Athena

PostgreSQL

Bash/Shell

Git

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to drive rigorous statistical execution and algorithmic validation of Meridian MMM frameworks. You will translate noisy marketing signals into multi-objective spend recommendations, build baseline models for high-variance datasets, and ingest structured data for client-isolated experimentation.

You will use Python and advanced SQL in AWS Athena and PostgreSQL, collaborating with engineering teams to ensure robust, validated data pipelines and