Data Scientist / Team Lead (m/f/d)

Knuddels aims to make social networks truly social again, focusing on genuine human connection. With 100,000 daily members generating millions of events, data analysis is key to understanding and improving the user experience.

Your Tasks

• Hands-on Data Analysis & Data Science: Analyze complex data using techniques like Data Mining, Clustering, Forecasting, and Recommendation Classification. Ensure data accuracy across systems and establish best practices (e.g., code reviews, documentation).
• Enable Data-Driven Decisions: Analyze data, prepare understandable results, and derive concrete strategic measures. Collaborate closely with Product Management, Community Management, and Executive Leadership as a strategic partner. Combine quantitative analysis with qualitative community feedback for informed decision-making.
• Team Leadership & Data Culture: Lead the transformation of the Data Science area. Take on functional and eventually disciplinary leadership of a small team, fostering their development and structuring the department. Define the long-term data strategy with executive leadership and establish a data culture.

What We Offer

• Flexibility: Up to 100% Remote Work, trust-based working hours, and 10 additional unpaid "Flexi-Holiday" days on top of 30 vacation days.
• Team Spirit: An open, respectful, and cooperative culture with mutual support.
• Growth: 10% of your work time dedicated to professional development, access to a coaching pool, in-house workshops, and regular feedback.
• Product Focus: Work on our own B2C product and see the immediate impact on our community.
• Excellent Equipment: High-quality technical equipment provided. Subsidy for a mobile air conditioner for fully remote workers.
• Office Perks (Karlsruhe): Prime location with a free breakfast buffet, daily fresh lunch, air conditioning, and a large rooftop terrace.
• Health Support: Subsidy for gym/sports club memberships.
• See all benefits at jobs.knuddels.de.

What We Don't Offer

• Stuffy corporate structures
• Work on business customer projects (we are a B2C company)
• Forced bullet points

Requirements

• Education: Degree in Computer Science, Mathematics, Statistics, or equivalent qualification.
• Business Understanding: Ability to analyze, explain, and translate data into practical business value. Think in solutions for the product, not just algorithms.
• Communication Skills: Ability to convey complex concepts clearly to non-technical stakeholders and present confidently.
• Leadership Potential: Desire to take responsibility (mentoring, project leadership, technical guidance). Formal leadership experience is a plus, but not required. Motivation to develop a team is key.
• Analytical Strength: Quick comprehension, structured work, enjoyment of analyzing large, structured, and unstructured datasets.
• AI Mindset: Proficiently use AI tools (e.g., LLMs, Copilots) and identify opportunities for their application in data analysis and product development.
• Tech Stack: Strong knowledge of SQL and Python (including pandas, sklearn). Experience with statistical analysis, databases, and data visualization tools (Excel/Google Sheets). Proficient in Machine Learning (Forecasting, Clustering, Categorization) and Deep Learning frameworks (e.g., PyTorch, TensorFlow).
• Language Skills: Fluent German (C1 minimum) and English language skills are required.

Nice-to-have

• Knowledge of Java and Mixpanel.