Data Scientist (Customer & Marketing Analytics)

Satori Analytics; Deutschland; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Training budget for skill development

Private insurance and top-tier tech

Zusammenfassung

Satori Analytics is seeking a Data Scientist to drive customer and marketing analytics projects across industries. You will work with customer, transactional, campaign, and behavioral data to build segmentation, targeting, and KPI-driven analyses in collaboration with Marketing, BI, and Data Engineering.

You will design segmentation methods, develop features, and apply explainability techniques like SHAP to translate model outputs into actionable business insights for stakeholders.

Qualifikationen

• Experience in Data Science with customer/marketing analytics
• Proven ability to design segmentation and targeting solutions
• Familiarity with clustering algorithms and their limitations
• Experience with explainable AI, especially SHAP
• Proficient in Python or R and SQL
• Ability to translate analyses into business insights

Aufgaben

• Design segmentation solutions from customer, transactional, and behavioral data
• Engineer features and evaluate model performance with business metrics
• Explain model decisions and translate results into customer narratives
• Contribute to targeting, campaign analytics, churn prediction, and KPIs
• Collaborate with Marketing and BI to define relevant KPIs
• Present findings to technical and non-technical stakeholders
• Write reusable, well-documented code and work with data engineers

Kenntnisse

Data science

Marketing analytics

Customer analytics

Clustering algorithms

SHAP explainability

Python

R

SQL

Data visualization

Tools

Power BI

Tableau

Git

Jobbeschreibung

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. Join us as we lead the data revolution in South-Eastern Europe and beyond!

We're looking for a Data Scientist to join our Data Science team and drive customer and marketing analytics projects. You'll work with customer, transactional, campaign, and behavioural data to build segmentation and targeting solutions, partnering with Marketing, BI, and Data Engineering to turn commercial questions into actionable recommendations.

What Your Day Might Look Like:

• Segment the customers: Design segmentation solutions from customer, transactional, and behavioural data using clustering techniques such as K-Means, Gaussian Mixture Models, or DBSCAN.
• Engineer the signal: Build customer-level features - recency, frequency, monetary value, spend trends, engagement, and lifecycle indicators - and evaluate results through metrics, stability analysis, and business interpretability.
• Explain the 'why': Use explainability techniques, particularly SHAP, to understand model behaviour and translate feature importance into clear customer narratives, profiles, and personas.
• Go beyond segments: Contribute to targeting, campaign analytics, propensity modelling, churn prediction, and other marketing use cases, surfacing patterns and performance drivers in customer and marketing KPIs.
• Align with the business: Work with Marketing and BI to define meaningful KPIs and connect analytical outputs to business objectives.
• Tell the story: Present findings to technical and non-technical stakeholders through clear visualisations and business language.
• Work clean: Write reusable, reproducible, well-documented code, collaborating with Data Engineers and BI to prepare and validate datasets.

Your Superpowers:

• Professional experience in Data Science, Customer/Marketing Analytics, Business Analytics, or a related field, with a track record partnering with Marketing, CRM, or other business-facing teams.
• Hands-on experience with customer segmentation, clustering, behavioural analytics, or targeting projects — including a solid grasp of clustering algorithms, their assumptions, strengths, and limitations.
• Comfort evaluating clustering solutions through metrics, stability testing, distribution analysis, and business interpretability.
• Experience with explainable AI, particularly SHAP, and the ability to turn explainability outputs into meaningful business insight.
• Good grounding in applied statistics (distributions, regression, hypothesis testing, experimentation, model evaluation) and a good understanding of customer and marketing KPIs (engagement, conversion, retention, churn, customer value).
• Strong Python or R and solid SQL (joins, aggregations, CTEs, window functions), plus familiarity with data visualisation and BI principles.
• Ability to translate business questions into structured analytical problems and communicate findings clearly to non-technical audiences.
• Strong documentation habits, experience with Git, and the ability to work independently and flag risks proactively.

Bonus Points for:

• CRM analytics, loyalty programmes, media analytics, and customer lifecycle management.
• Propensity modelling, recommendation systems, customer lifetime value, uplift modelling, or next-best-action solutions.
• A/B testing, experiment design, causal inference, or campaign incrementality.
• Experience with payment, banking, retail, FMCG, and large-scale transaction data, and BI tools like Power BI or Tableau.
• Cloud and analytics platforms (Azure, AWS, GCP, Microsoft Fabric, Databricks), distributed processing (Spark, PySpark, Dask), and exposure to MLOps or Generative AI / LLM workflows.

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.