# Senior Data Scientist (Marketing Mix Models) > Satori Analytics · Athens, Greece (Hybrid) · Full-time · Posted 2026-06-04 **Workplace:** hybrid **Department:** Data Science ## Description **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! **What Your Day Might Look Like:** - 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. ## Requirements **Your Superpowers 🚀:** - **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, NumPy, scikit-learn, statsmodels, and SciPy. 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. **Bonus Points for:** - Familiarity with Bayesian and frequentist approaches to Marketing Mix Modeling (MMM). - Experience with modern MMM frameworks such as Google Meridian, Meta Robyn, or LightweightMMM. - Experience with cloud platforms such as AWS, Azure, or GCP. - Exposure to MLOps tools and model deployment frameworks. - Experience working with large-scale media, consumer, or retail datasets. - Familiarity with Git/GitHub (or GitLab) and collaborative development workflows. - Experience using AI-assisted development tools (e.g., GitHub Copilot) to improve productivity and code quality. ## Benefits **Perks on Perks:** - Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year). - Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered. - Private insurance, top-tier tech gear, and the chance to work with a stellar crew. Ready to create some data magic with us? Hit that apply button and let’s get started. ## Apply [Apply at Satori Analytics](https://apply.workable.com/satori-analytics-1/j/EC3D7D552A/apply) --- Powered by [Workable](https://www.workable.com)