Product Data Scientist owning Personalisation & Recommendations

Location: Germany Remote Policy: Fully remote within Germany Employment Type: Full-time, Permanent About the Company We build production-grade software designed around intelligence. Not as a plugin. Not as a feature. As a core part of the system itself. We designed our proprietary specifications and state-of-the-art methodology to build products where reasoning, automation, and adaptive logic are integral to the foundation, not an afterthought. Role Summary As a data expert, you take functional ownership of our recommendation system, ensuring customers receive relevant, personalised offers while restaurants grow measurably. You collaborate with Product, Design, and Engineering to shape complexity into clear, actionable decisions. Responsibilities Develop models , scoring logic , and A/B tests to enhance the recommendation system. Ensure relevant, personalised recommendations across all channels Analyse and improve marketing & lifecycle automation performance Drive prioritisation and clarity between Product, Marketing & Engineering Build insights, dashboards, and reports in Metabase Maintain reliable metrics and high-quality datasets Must-Have Requirements Several years in Data Analytics (preferably B2C , e-commerce , or recommendation systems ) Experience with pricing , offer logic , and customer behaviour analysis Ability to transform vague requirements into clear data models Solid skills in A/B testing , statistics , ML basics , and experiment design Strength in problem-structuring and impact-focused prioritisation Fluent German & English Nice-to-Have Requirements Experience with modern data stack tools: Airflow , dbt , Metabase , Data Warehouse environments Background in marketing analytics or behavioural data Familiarity with recommender systems and large-scale personalisation What We Offer A real chance to shape the data landscape and influence the product Modern stack: Data Warehouse , Airflow , dbt , Metabase Ownership : advisor + enabler + driver of data decisions Fast visibility and close collaboration with leadership A mission-driven environment focused on restaurant independence High-quality standards, supportive communication, and strong teamwork Egym Wellpass partnership across Germany Modern hardware & efficient workflows Short decision paths with a human-first culture Competitive Salary (experience-based) Hiring Process Intro call Technical + analytical interview A day at the office Final conversation with management Offer Equal Opportunity Statement We welcome applicants from all backgrounds and do not discriminate based on gender, identity, ethnicity, religion, disability, age, or any other protected characteristic.