Data Scientist (Intelligent Media Planning)

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 through 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. Join us as we lead the data revolution in South-Eastern Europe and beyond! Satori Analytics is looking for a Data Scientist to join our Data Science team and take a leading hands-on role in our Intelligent Media Planning workstream — building customer segmentation, competitive benchmarking, and media budget planning solutions on top of large-scale payment transaction data. You'll turn raw transactional signals into segments, narratives, and monthly media plans that clients actually act on. What Your Day Might Look Like: Design and build customer segmentation solutions on payment transaction data, from feature engineering through clustering to business-ready segment narratives Engineer behavioural features at scale — multi-window RFM, spend trajectory, recency decay, and time spine construction on transactional datasets Validate and stress-test clusters using silhouette scores, stability testing, and — most importantly — business interpretability Explain your models using SHAP, translating feature importance into plain-English segment stories for non-technical stakeholders Calculate and interpret competitive metrics such as Spend Index (issuer view) and Wallet Share (merchant view), including a correct treatment of network coverage limitations Build media planning logic — temporal disaggregation of coarse budgets into monthly plans (Denton-Cholette or equivalent), heuristic channel splits, and MMO response curve integration Handle data filtering with rigour — BIN/ICA logic for issuer data, merchant_parent_name logic for merchant data Document your work — methodology docs, assumption logs, and structured write-ups that others can pick up and run with Your Superpowers🚀: Strong Python — production-quality, clean, reproducible code (pandas, NumPy, scikit-learn) Solid SQL — joins, window functions, and aggregations at scale Applied statistics — distributions, regression, hypothesis testing, and model evaluation Segmentation depth — K-Means, GMM, DBSCAN; you know the maths behind the algorithms, not just the API calls Cluster validation instincts — silhouette score, stability testing, and an eye for whether a segmentation makes business sense Feature engineering craft on transaction data — multi-window RFM, spend trajectories, recency decay Explainability skills — comfortable with SHAP and able to turn feature importance into narratives clients understand Git / version control as a matter of habit Clear written communication — you document methodology and assumptions without being asked Independence — you work from a defined brief, manage your own progress, and are proactive when blocked AI awareness — you follow the space and know when (and when not) to reach for AI tooling Bonus Points for: Card network or payment transaction data experience — familiarity with the quirks of issuer and merchant data LLM API integration for persona and narrative generation (OpenAI, Anthropic) UMAP / t-SNE for cluster visualisation Spark or Dask for large-scale data processing Prior work in financial services, retail, or loyalty analytics 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.