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! 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. 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. 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.