Knuddels

• You analyze our complex data and derive valuable insights using data mining, clustering, forecasting, or recommendation/classification methods. • You ensure the correctness of our data across different systems. • You analyze our data, present the results in an understandable way, and derive concrete strategic actions. • You work closely with Product Management, Community Management, and the executive team — not in an ivory tower, but as a collaborative sparring partner. • You connect quantitative analyses with qualitative feedback from our community to enable well-founded decisions. • You establish best practices such as code reviews and documentation. • You take on technical and, prospectively, disciplinary leadership of a small team, support the development of your colleagues, and further build out the area structurally. • Together with the executive team, you define the long-term data strategy and establish a true data culture within the company.

• Data analysis and Data Science, including data mining, clustering, forecasting, recommendation systems and classification • Ensure the correctness and integrity of data in our systems • Prepare data-driven decisions and derive strategic measures • Work closely with Product Management, Community Management and Executive Management • Link quantitative analyses with qualitative community feedback • Establish best practices such as code reviews and documentation • Provide technical and, prospectively, disciplinary leadership for a small team • Support the development and strategic build-out of the Data Science function • Define the long-term data strategy together with Executive Management

• In this role you will drive Knuddels' growth in a measurable way. • Your primary focus is to excite, activate and retain new members: you identify and optimize the levers through which new users discover Knuddels. • You work on onboarding flows and the first-session experience. • You analyze the user journey on our platform and develop targeted measures to improve DAU, MAU and especially retention. • You contribute your knowledge of user lifecycle and engagement to help shape our monetization strategy. • You formulate growth and retention hypotheses, design A/B tests and evaluate them systematically. • You provide subject-matter leadership for a cross-functional team and align it consistently with growth objectives. • You apply AI tools not only for personal productivity.

• You will take on a key role, working not only operationally but also strategically reshaping and embedding the Data Science function at Knuddels. • Leadership & team building: As the team is evolving, you will continue to expand its structure and foster your team members’ development through coaching and feedback. • Data strategy & culture: Together with company leadership, you will define the long-term data strategy. Your goal is to establish a genuine data-driven culture, empower colleagues, and make data understandable and accessible across the company. • Sparring partner & bridge builder: You act as the data-driven conscience but do not rely on numbers blindly. You link quantitative analyses with qualitative feedback from the community (e.g., through close exchange with Community Management) to form a holistic view and enable well-founded decisions. • Hands-on Data Science: You work operationally with our complex data (millions of events per day) to extract valuable insights using data mining, clustering, forecasting, recommendation systems, and classification. • Quality & processes: You ensure the correctness of our data across systems (DWH, analytics) and establish best practices (e.g., code reviews, documentation) for scalable data-science products. • Business impact: You derive concrete actions from your analyses that deliver the greatest value to our community and secure the long-term success of Knuddels.