Senior Data Scientist - Meridian MMM TimeSeries (Remote)

AgileEngine, LLC.; Mar del Plata; Presencial; ARS 136.174.000 - 196.696.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-objective spend recommendations. You will formulate baseline models for high-variance datasets and apply Python with advanced SQL against AWS Athena and PostgreSQL environments.

Work from anywhere with flexible hours, collaborating with engineers to validate pipeline requirements and accelerate data transformations for client projects.

Formación

• 5–7 years of data science experience focusing on time-series analysis or attribution modeling.
• Experience applying Meridian MMM framework on real-world datasets.
• Strong backend proficiency in Python with static type systems and structured schemas.
• Absolute comfort operating inside Mac/Linux terminal infrastructure using Bash and shell utilities.
• Proficiency writing advanced SQL to extract and prepare data in AWS Athena or PostgreSQL.
• Strong communication skills and the ability to defend a technical approach under scrutiny.

Responsabilidades

• Expand framework configurations to incorporate multi-layered client objectives and separate mid-funnel metrics from revenue targets.
• Formulate robust heuristic models and backup strategies for high-variance datasets.
• Ingest structured data from upstream pipelines to support client-isolated experimentation.
• Use AI-assisted IDE tools to speed data transformations while validating analyses before deployment.
• Collaborate daily with engineering teams via Slack/Meet to resolve pipeline requirements and dependencies.

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Scientist to drive rigorous statistical execution and multi-objective spend recommendations. You will formulate baseline models for high-variance datasets and apply Python with advanced SQL against AWS Athena and PostgreSQL environments.

Work from anywhere with flexible hours, collaborating with engineers to validate pipeline requirements and accelerate data transformations for client projects.