# Data Scientist (Intelligent Media Planning)

> Satori Analytics · Athens, Greece (Hybrid) · Full-time · Posted 2026-07-10

**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 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

## Requirements

**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

## 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/C2E2D8161A/apply)

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