Data Scientist (m / w / d)

At Pflegia we are building and operating an innovative job-matching platform, which intelligently brings together caregivers and healthcare employers. Our vision is to become Europe's leading job platform for nursing professions and to fight the nursing crisis! Become part of the team and shape the nursing job market together with us! Tasks Devise, design, build, and validate statistical models and predictive analyses to inform business decisions Work with large language models (LLMs), improve retrieval-augmented generation (RAG) systems, and explore new AI technologies to drive product innovation Formulate testable, actionable hypotheses and design experiments (e.g., A / B tests) to validate or falsify them Analyze data as well as data funnels and user journeys to identify drop-offs, friction points, and opportunities for optimization Collaborate with performance marketing teams to uncover data-driven insights and improve campaign efficiency Define key performance indicators (KPIs), build monitoring tools or dashboards (Quicksight), and track progress toward business goals. Collaborate cross-functionally using tools like Jira to document work, communicate progress, and manage data-related tasks Communicate findings to stakeholders, translate insights into actionable recommendations, and drive follow-through on implementation Requirements You love to work with data : explore it, model it, improve its quality. Strong proficiency in statistics and data extraction techniques. Solid hands-on experience with Python, common data science libraries (e.g., pandas, scikit-learn, NumPy) and SQL, with a focus on practical data science applications. Proficient in applying AI and machine learning techniques, as well as leveraging modern AI tools to solve real-world business problems. Good understanding of A / B testing methodologies and performance marketing concepts. Practical knowledge of AWS Quicksight or similar BI tools Extensive experience in ML projects related to Anomaly detection, Trend analysis, Marketing mix modeling or Multi-touch attribution models Experience in e-commerce or platform-based businesses Bonus : Academic background in mathematics, statistics, physics, computer science, or a related quantitative field. Benefits Flat hierarchies with short decision-making paths (start-up mentality) and an open corporate culture with helpful & communicative colleagues Regular feedback conversations A pleasant workplace (open-plan office centrally located in a beautiful old building in Berlin) with home office option A very nice and cooperative working atmosphere Free drinks We have a lean and quick hiring process, do not hesitate to apply! Please disclose all usage of AI on your application and in our hiring process.