Satori Analytics
FMCG, retail, manufacturing and FSI
SeniorDataScientist(MarketingMixModels)
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“Senior Data Scientist (Marketing Mix Models) at Satori Analytics. Skills: Marketing Mix Modeling, Econometrics, Machine learning, Data science. Design Marketing Mix Models (MMM). Develop Marketing Mix Models (MMM)”
Industry & Context.
Translate ambiguity into analytical solutions
What They're Looking For.
Must Have
Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, or a related quantitative field, Strong Python skills, Strong SQL skills, Experience building MMM solutions for FMCG, Retail, Telecommunications, E-commerce, Financial Services, or similar industries, Experience with Adstock models, Experience with Media saturation and response curves, Experience with Incrementally measurement, Experience with ROI and ROAS estimation, Experience with Scenario planning and budget optimization, Experience with data science libraries such as pandas, NumPy, scikit-learn, statsmodels, and SciPy, Experience working in Jupyter Notebooks, Proficient in exploratory data analysis, Proficient in data visualization, Strong understanding of Regression analysis, Strong understanding of Time series analysis, Strong understanding of Econometrics, Strong understanding of Statistical hypothesis testing
Nice to Have
Master's degree in Data Science, Statistics, Econometrics, Economics, or a related discipline preferred, 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), Experience using AI-assisted development tools (e.g., GitHub Copilot)
What You'll Do.
Design Marketing Mix Models (MMM)
Develop Marketing Mix Models (MMM)
Maintain Marketing Mix Models (MMM)
Measure impact of marketing activities
Analyze complex datasets
Uncover business insights
Build statistical models
Build machine learning models
Quantify marketing effectiveness
Optimize media spend allocation
Develop adstock transformations
Develop saturation curves
Develop diminishing returns modeling
Develop baseline sales decomposition
Develop incrementality measurement
Partner with marketing stakeholders
Partner with analytics stakeholders
Partner with business stakeholders
Diagnose business questions
Define success metrics
Translate ambiguity into analytical solutions
Translate model outputs into business narratives
Guide stakeholders on interpretation
Guide stakeholders on action
Build scalable data science pipelines
Support model development
Support model monitoring
Support model deployment
Stay up to date with emerging methods
Contribute to Data & AI platform evolution
Contribute to advanced analytics
Contribute to MLOps capabilities
How You'll Work.
Team & Collaboration
Partner with marketing; Partner with analytics; Partner with business stakeholders
Communication Scope
Translate model outputs; Present findings; Guide stakeholders
Full Job 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 an
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