Data Scientist – Customer & Marketing Analytics

This is a fully remote position, open to applicants in Greece, +2 more countries.

📋 Description

• **What Your Day Might Look Like:**

• - **Segment the customers:** Develop segmentation strategies utilizing customer, transactional, and behavioral data with clustering techniques such as K-Means, Gaussian Mixture Models, or DBSCAN.

• - **Engineer the signal:** Create customer-level features — including recency, frequency, monetary value, spending trends, engagement, and lifecycle indicators — and assess outcomes using metrics, stability analysis, and business interpretability.

• - **Explain the "why":** Employ explainability methods, particularly SHAP, to gain insights into model behavior and convert feature significance into understandable customer narratives, profiles, and personas.

• - **Go beyond segments:** Aid in targeting, campaign analytics, propensity modeling, churn prediction, and other marketing applications, identifying patterns and performance drivers in customer and marketing KPIs.

• - **Align with the business:** Collaborate with Marketing and BI to establish meaningful KPIs and link analytical results to business goals.

• - **Tell the story:** Communicate findings to both technical and non-technical stakeholders through clear visualizations and business terminology.

• - **Work clean:** Produce reusable, reproducible, and well-documented code, working alongside Data Engineers and BI to prepare and validate datasets.

⛳️ Requirements

• **Your Superpowers 🚀:**

• - Professional experience in Data Science, Customer/Marketing Analytics, Business Analytics, or a similar field, with a proven track record of collaboration with Marketing, CRM, or other business-oriented teams.

• - Practical experience with customer segmentation, clustering, behavioral analytics, or targeting projects — possessing a solid understanding of clustering algorithms, including their assumptions, strengths, and limitations.

• - Proficiency in evaluating clustering solutions using metrics, stability testing, distribution analysis, and business interpretability.

• - Familiarity with explainable AI, particularly SHAP, and the capacity to convert explainability outputs into valuable business insights.

• - Strong foundation in applied statistics (distributions, regression, hypothesis testing, experimentation, model evaluation) along with a solid understanding of customer and marketing KPIs (engagement, conversion, retention, churn, customer value).

• - Proficient in Python or R, with a strong command of SQL (joins, aggregations, CTEs, window functions), as well as an understanding of data visualization and BI principles.

• - Capability to translate business inquiries into structured analytical challenges and communicate results effectively to non-technical audiences.

• - Strong documentation practices, familiarity with Git, and the ability to work autonomously while proactively identifying risks.

• **Bonus Points for:**

• - Experience in CRM analytics, loyalty programs, media analytics, or customer lifecycle management.

• - Knowledge in propensity modeling, recommendation systems, customer lifetime value, uplift modeling, or next-best-action solutions.

• - Background in A/B testing, experimental design, causal inference, or campaign incrementality.

• - Experience with payment, banking, retail, FMCG, or large-scale transaction data, as well as BI tools like Power BI or Tableau.

• - Familiarity with cloud and analytics platforms (Azure, AWS, GCP, Microsoft Fabric, Databricks), distributed processing (Spark, PySpark, Dask), and exposure to MLOps or Generative AI / LLM workflows.

🏝️ Benefits

• **Perks on Perks:**

• - Competitive salary and a hybrid work model – you can work in our Athens office or remotely from anywhere in the European Economic Area (EU, Switzerland, etc.) or the UK (up to 6 weeks per year).

• - Training budget to enhance your skills with top tech partners in the market (Microsoft, AWS, Salesforce, Databricks, etc.) – whether for certifications or courses, we’ve got you covered.

• - Private insurance, high-quality tech equipment, and the opportunity to work with an exceptional team.

• Ready to create some data magic with us? Hit that apply button and let’s get started.