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Data Scientist (Customer & Marketing Analytics)

1 week ago
Switzerland, Europe, United Kingdom, Greece
Full-time
Mid Level
Data Scientist
Data Science and Analytics
Apache Spark AWS Azure Databricks Feature Engineering GCP Generative AI Git LLM MLOps Power BI Python R SQL Tableau
Apply Now
Satori Analytics

Satori Analytics

Satori Analytics specializes in providing AI and GenAI accelerator solutions that enhance customer experience, optimize customer support and call center operations, and streamline workflow automation and document intelligence, ultimately empowering emp...

IT Services
51-250
View All Jobs 4

Description

  • Design customer segmentation solutions using customer, transactional, and behavioural data.
  • Build customer-level features such as recency, frequency, monetary value, spend trends, engagement, and lifecycle indicators.
  • Evaluate clustering and segmentation results using metrics, stability analysis, and business interpretability.
  • Use explainability techniques, especially SHAP, to interpret model behaviour and translate outputs into customer narratives and personas.
  • Contribute to targeting, campaign analytics, propensity modelling, churn prediction, and other marketing analytics use cases.
  • Define meaningful KPIs with Marketing and BI and connect analytical outputs to business objectives.
  • Present findings to technical and non-technical stakeholders using clear visualisations and business language.
  • Write reusable, reproducible, well-documented code and help prepare and validate datasets with Data Engineering and BI.

Requirements

  • Professional experience in Data Science, Customer/Marketing Analytics, Business Analytics, or a related field.
  • Track record partnering with Marketing, CRM, or other business-facing teams.
  • Hands-on experience with customer segmentation, clustering, behavioural analytics, or targeting projects.
  • Solid understanding of clustering algorithms, including their assumptions, strengths, and limitations.
  • Experience 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 business insight.
  • Good grounding in applied statistics, including distributions, regression, hypothesis testing, experimentation, and model evaluation.
  • Strong Python or R skills and solid SQL, including joins, aggregations, CTEs, and window functions.
  • Familiarity with data visualisation and BI principles.
  • Experience with Git and strong documentation habits.
  • Ability to translate business questions into structured analytical problems and communicate clearly to non-technical audiences.
  • Preferred experience in CRM analytics, loyalty programmes, media analytics, or customer lifecycle management.
  • Preferred experience with propensity modelling, recommendation systems, customer lifetime value, uplift modelling, or next-best-action solutions.
  • Preferred experience with A/B testing, experiment design, causal inference, or campaign incrementality.
  • Preferred experience with payment, banking, retail, FMCG, or large-scale transaction data, and BI tools like Power BI or Tableau.
  • Preferred experience with cloud and analytics platforms such as Azure, AWS, GCP, Microsoft Fabric, or Databricks, distributed processing tools like Spark, PySpark, or Dask, or exposure to MLOps or Generative AI / LLM workflows.

Benefits

  • Competitive salary.
  • Hybrid work model with the option to work from the Athens office or remotely from anywhere in the European Economic Area or the UK for up to 6 weeks per year.
  • Training budget for certifications and courses with tech partners such as Microsoft, AWS, Salesforce, and Databricks.
  • Private insurance.
  • Top-tier tech gear.

Interested in this position?

Apply directly on the company website

Apply Now

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