Senior Data Scientist – Remote MMM & Time-Series Expert

AgileEngine; Ciudad de México; Presencial; MXN 900.000 - 1.400.000; 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 in Mexico City is seeking a Senior Data Scientist to drive statistical execution and multi-objective spend recommendations using Meridian MMM frameworks. You will translate noisy marketing signals into trusted insights, ingest structured data from upstream pipelines, and apply Python with advanced SQL in AWS Athena and PostgreSQL environments.

Collaborate with engineering teams daily via Slack and Google Meet to refine pipelines, develop robust heuristic models, and validate results

Formación

• 5-7 years of professional data science experience, emphasizing time-series analysis, prior distributions, or high-complexity attribution modeling.
• Clear, verifiable experience applying or testing the Meridian MMM framework on real-world datasets.
• Strong backend proficiency using Python, specifically leveraging tools that reinforce static type systems and structured schemas.
• Absolute comfort operating entirely inside standard Mac/Linux terminal infrastructure using Bash, shell utilities, and text-based tools.
• Proficiency writing advanced queries to extract and prepare data housed in cloud systems such as AWS Athena or PostgreSQL environments.
• Strong communication skills, specifically the assertiveness to defend a technical or mathematical methodology against a project shortcut that threatens calculation validity.
• Upper-intermediate English level.

Responsabilidades

• Expand framework configurations to natively factor in multi-layered client objectives, such as separating mid-funnel brand awareness metrics from immediate revenue generation targets.
• Formulate robust heuristic models and pragmatic backup strategies to generate valid analytical insights when working with limited or high-variance customer datasets.
• Safely ingest highly structured fields derived from upstream single source of truth data pipelines to execute client-isolated experimentation.
• Leverage modern AI-assisted IDE tools to expedite data transformations while applying strict analytical validation to catch tool errors or structural flaws before deployment.
• Collaborate daily with internal engineering cross-functions via Slack and Google Meet to rapidly resolve ambiguous pipeline requirements or technical dependencies.

Conocimientos

Time-series analysis

Attribution modeling

Meridian MMM framework

Python

SQL

AWS Athena

PostgreSQL

Mac/Linux terminal

English communication

Data storytelling

Herramientas

Docker

Kubernetes

Git

Descripción del empleo

AgileEngine in Mexico City is seeking a Senior Data Scientist to drive statistical execution and multi-objective spend recommendations using Meridian MMM frameworks. You will translate noisy marketing signals into trusted insights, ingest structured data from upstream pipelines, and apply Python with advanced SQL in AWS Athena and PostgreSQL environments.

Collaborate with engineering teams daily via Slack and Google Meet to refine pipelines, develop robust heuristic models, and validate results