Satori Analytics

FMCG, retail, manufacturing and FSI

SeniorDataScientist(MarketingMixModels)

€55–85k ~AI est. Athens, Attica, Greece FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

FMCG, retail, manufacturing and FSI
Problems you'll solve

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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