Senior Data Scientist, leadership responsibility, part-time

🕒 April 16

🗣️🇩🇪 German Required

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Logo of Knuddels

Knuddels

51 - 200 employees

Founded 1999

👥 B2C

🛍️ eCommerce

🎮 Gaming

B2C • eCommerce • Gaming

Knuddels is a popular German chat platform founded in 1999, providing a vibrant community for users to connect, socialize, and play games. Facilitating both casual conversation and dating through various themed chatrooms, Knuddels offers an escape to meet new friends and share interests in a fun, engaging environment. The platform is free to use and maintains a significant user base with its unique chat features and commitment to user safety.

📋 Description

• 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.

🎯 Requirements

• You have a degree in Computer Science, Mathematics, Statistics, or a comparable qualification. • You can not only analyze data but also explain it and translate insights into practical value. • You recognize patterns, understand their business implications, and think in product-focused solutions — not only algorithms. • You communicate complex relationships clearly to non-technical stakeholders and present confidently — even when you need to challenge existing assumptions with data. • You are eager to take on responsibility — as a mentor, in project leadership, or through technical guidance. Formal management experience is a plus but not required. • You have a quick grasp, work in a structured way, and enjoy analyzing large datasets — both structured and unstructured. • You see AI (e.g., LLMs, copilots) as an integral part of modern work. You use relevant tools routinely and have ideas for how we can profitably apply AI to our data analyses or product. • Strong knowledge of SQL and Python (including frameworks such as pandas, scikit-learn). • Experience with statistical analyses and databases, as well as Excel/Google Sheets for preparing and visualizing results. • Solid knowledge of machine learning (forecasting, clustering, categorization) and deep learning frameworks (e.g., PyTorch, TensorFlow). • Business-fluent German (at least C1) and proficiency in English are required. • Nice to have: knowledge of Java and Mixpanel.

🏖️ Benefits

• Genuine part-time, not "full-time light": your workload is realistically calculated, not simply scaled down. • Flexibility that fits your life: up to 100% remote work, trust-based working hours, and the option of 10 unpaid "flexi vacation days" in addition to 30 days of annual leave. • Real camaraderie: we maintain an open, respectful, and cooperative culture where we support each other. • Growth on your terms: use 10% of your working time for professional development and benefit from our coaching pool, in-house workshops, and regular feedback. • Focus on our own product (B2C): you see directly how your contribution impacts our community and help bring people closer together. • Excellent equipment: we provide you with top technical gear. If you work fully remotely, we also subsidize a mobile air-conditioning unit. • Office in a prime location (Karlsruhe): free breakfast buffet, freshly prepared lunch daily, fully air-conditioned, and a large rooftop terrace. • We want to support your health: subsidy for gym or sports club membership.

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