Senior Data Scientist; Marketing Mix Models

Are you passionate about AI?

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands thought Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.

As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI.

We are looking for a Senior Data Scientist with expertise in Marketing Mix Modeling (MMM) to help some of the world's leading brands optimize their marketing investments, quantify channel effectiveness, and drive data-driven growth.

Join us as we lead the data revolution in South-Eastern Europe and beyond!

• Design, develop, and maintain Marketing Mix Models (MMM) to measure the impact of marketing activities across online and offline channels.
• Analyze complex datasets from media, sales, pricing, promotions, distribution, macroeconomic, and competitive sources to uncover business insights.
• Build statistical and machine learning models to quantify marketing effectiveness and optimize media spend allocation.
• Develop and validate key MMM components such as adstock transformations, saturation curves, diminishing returns modeling, baseline sales decomposition, and incrementality measurement.
• Partner with marketing, analytics, and business stakeholders to diagnose the right business question, define what success looks like, and translate ambiguity into analytical solutions.
• Translate model outputs and recommendations into clear business narratives—not just presenting findings, but guiding stakeholders on how to interpret and act on them.
• Build scalable data science pipelines that support model development, monitoring, and deployment.
• Stay up to date with emerging methods in statistics and econometrics related to Marketing Mix Modeling (MMM) and marketing effectiveness measurement.
• Contribute to the evolution of our Data & AI platform, particularly in advanced analytics and MLOps capabilities.

• Proven Impact: Delivered at least two real-world analytics or data science projects involving:
  Marketing Mix Modeling (MMM), Marketing effectiveness measurement, Demand forecasting, Econometric modeling, Marketing budget optimization, Scenario planning and media investment optimization
• MMM & Analytics Expertise: Strong understanding of Marketing Mix Modeling methodologies and best practices.
• Experience building MMM solutions for FMCG, Retail, Telecommunications, E-commerce, Financial Services, or similar industries.
• Hands‑on experience with
  :
  Adstock models, Media saturation and response curves, Incrementally measurement, ROI and ROAS estimation, Scenario planning and budget optimization
• Education: Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, or a related quantitative field. Master’s degree in Data Science, Statistics, Econometrics, Economics, or a related discipline preferred.
• Languages & Tools: Strong Python and SQL skills. Experience with data science libraries such as pandas, Num Py, scikit-learn, stats models, and Sci Py. Experience working in Jupyter Notebooks and collaborative development environments.
• Visualization & Analysis: Proficient in exploratory data analysis and data visualization, with a talent for making complex MMM outputs intuitive—helping business audiences not just understand the findings, but confidently use them to make decisions.
• Statistical & Econometric Expertise: Strong understanding of:
  Regression analysis, Time series analysis, Econometrics, Statistical hypothesis testing. Ability to explain model assumptions, limitations, and business implications clearly.

• Familiarity with Bayesian and frequentist approaches to Marketing Mix Modeling (MMM).