Senior Data Scientist – MMM ID71005

AgileEngine; Córdoba; Presencial; COP 277.675.000 - 462.792.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work 100%

Flexible hours

Learning budget

Descripción de la vacante

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

You will formulate heuristic baselines for high-variance data and ingest data from upstream pipelines for client-isolated experiments, using Python with advanced SQL in AWS Athena and PostgreSQL environments.

Formación

• 5–7 years of professional data science experience with time-series analyses, distributions, or high-complexity attribution modeling.
• Verifiable experience applying Meridian MMM on real datasets.
• Strong backend Python skills with type-safe, structured schemas.
• Comfort operating in Mac/Linux terminal environments using Bash and shell utilities.
• Proficiency writing advanced queries for AWS Athena and PostgreSQL.
• Strong communication skills and ability to defend methodologies.
• Upper-intermediate English level.

Responsabilidades

• Expand framework configurations to factor multi-layered client objectives.
• Formulate robust heuristic models for high-variance datasets.
• Ingest structured fields from upstream data pipelines for client experiments.
• Leverage AI-assisted IDE tools for data transformations with strict validation.
• Collaborate with engineering teams via Slack and Meet to resolve pipeline needs.

Conocimientos

Python

SQL

Time-series

Meridian MMM

Attribution modeling

AWS Athena

PostgreSQL

Bash

Herramientas

Mac/Linux terminal

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Scientist to drive rigorous statistical execution, multi-goal tuning, and algorithmic validation of client-specific Meridian MMM frameworks, translating noisy marketing signals and low-resolution data matrices into trusted, multi-objective spend recommendations. You will formulate heuristic baseline models for high-variance datasets, ingest structured data from upstream pipelines for client-isolated experimentation, and apply Python with advanced SQL against AWS Athena and PostgreSQL environments

WHAT YOU WILL DO

• 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

MUST HAVES

• 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

NICE TO HAVES

• Familiarity with containerized applications managed under Docker or basic Kubernetes infrastructure paradigms
• Practical knowledge of structural time-series models, Bayesian inference techniques, or custom Markov Chain Monte Carlo (MCMC) configurations
• Prior experience dealing with multi-account privacy boundaries and strict compliance mandates regarding client data partitioning
• Background in analyzing digital platform performance APIs, such as Google Ads, Amazon Advertising, or YouTube Data systems

PERKS AND BENEFITS

• Growth without limits : build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation : get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility : work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects : build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture : join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support : access local well-being programs and people-focused support tailored to your location