Data Scientist (Customer & Marketing Analytics)

New
Work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UKFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
PythonSQLBusiness IntelligenceGitData scienceR

Requirements

  • Professional experience in Data Science, Customer/Marketing Analytics, or Business Analytics.
  • Track record partnering with Marketing or CRM teams.
  • Hands-on experience with customer segmentation, clustering, and behavioral analytics.
  • Solid grasp of clustering algorithms and their business interpretability.
  • Proficiency in explainable AI techniques, particularly SHAP.
  • Strong grounding in applied statistics (distributions, regression, hypothesis testing, experimentation).
  • Understanding of customer and marketing KPIs including retention, churn, and customer value.
  • Proficiency in Python or R and solid SQL (joins, aggregations, window functions).
  • Familiarity with data visualization and BI principles.
  • Strong documentation habits and experience with Git.

Responsibilities

  • Design segmentation solutions using clustering techniques such as K-Means, GMM, or DBSCAN.
  • Build customer-level features based on recency, frequency, monetary value, and lifecycle indicators.
  • Utilize SHAP and other explainability techniques to interpret model behavior and create customer narratives.
  • Contribute to targeting, campaign analytics, propensity modeling, and churn prediction.
  • Define marketing KPIs and align analytical outputs with business objectives.
  • Present findings to stakeholders through visualizations and business-focused language.
  • Collaborate with Data Engineers and BI teams to write reproducible, well-documented code.
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