Senior Data Scientist – MMM

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.

Key responsibilities

• Expand framework configurations to natively factor multi‑layered client objectives such as brand awareness versus immediate revenue targets.
• Formulate robust heuristic models and pragmatic backup strategies for limited or high‑variance customer datasets.
• Safely ingest highly structured fields from upstream single‑source‑of‑truth pipelines to execute client‑isolated experiments.
• Leverage modern AI‑assisted IDE tools for rapid data transformations while applying strict analytical validation.
• Collaborate daily with internal engineering teams via Slack and Google Meet to resolve ambiguous pipeline requirements.

Required profile

• 5–7 years of professional data‑science experience emphasizing time‑series analysis, prior distributions, or high‑complexity attribution modeling.
• Verified experience applying or testing the Meridian MMM framework on real‑world datasets.
• Strong backend proficiency in Python, using static type systems and structured schemas.
• Comfort operating entirely within Mac/Linux terminals using Bash, shell utilities, and text‑based tools.
• Advanced SQL skills for extracting and preparing data in AWS Athena or PostgreSQL environments.
• Assertive communication skills to defend technical or mathematical methodology.
• Upper‑intermediate English proficiency.

Required skills

• Python
• SQL (advanced)
• AWS Athena
• PostgreSQL
• Bash / Linux shell
• Docker (basic)
• Kubernetes (basic)
• Bayesian inference techniques
• Markov Chain Monte Carlo (MCMC) configurations
• Time‑series analysis
• Attribution modeling

What we offer

• Growth without limits through mentorship, internal TechTalks, challenging projects, and an annual learning budget.
• Competitive compensation with regular performance and salary reviews.
• 100% remote work with flexible hours supporting focus and autonomy.
• Opportunity to build impactful products using modern technologies for global brands.
• Collaborative culture with zero micromanagement and recognition of contributions.
• Well‑being programs and people‑focused support tailored to your location.