Data Scientist

We're looking for a Data Scientist to help us understand and optimize how our marketplace performs and how our talent behaves, from first touch to long-term retention.

You'll sit within a centralized Analytics & Data Science team but cross-functionally work across Marketing, Sales, Product & Engineering, and Ops. Your job is to bring clarity: defining the right metrics, building reliable data models, and turning complex analyses into decisions that move the business forward.

This role covers three core areas:

• Marketing effectiveness: how channels and campaigns contribute to growth
• Talent lifecycle: understanding user behavior from acquisition and activation through retention and lifetime value
• Marketplace performance: how supply and demand interact across our platform

What You Will Be Doing

• Define and maintain key metrics across the marketplace and user lifecycle, supported by reliable dbt models that teams can trust.
• Build self-service dashboards, reporting layers, and playbooks that make data accessible and actionable across internal teams.
• Develop attribution and measurement models (multi-touch attribution, data-driven attribution, Marketing Mix Models) to understand channel contribution to acquisition and engagement.
• Model talent behavior including conversion, retention, and Customer Lifetime Value to help the business focus on sustainable marketplace growth.
• Design and analyze experiments (A/B tests, incrementality tests) to measure the causal impact of marketing and product changes., * Innovative mission: Together we create something new. Work in a dynamic set-up where you learn a lot and your every idea is heard.
• Unique team spirit: We can rely on each other blindly and celebrate all successes together as a team.
• Vacation: Recreation and further education is important, which is why we offer 28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days), 1 day of special leave for community service, 5 days of paid educational leave, and the possibility of unpaid leave
• Hybrid working model: We love our brand new office in Prenzlauer Berg. But sometimes you need a little more flexibility. Zenjob's flexible working model combines the best of both worlds, so you can work remotely up to 2 days / week (1 day, during the first 6 months, so we can guarantee you the best onboarding).
• Dog-lover: If you have a dog, feel free to bring it with you. We don't bite and always have a bowl of water in our range of drinks
• Personal growth: Ongoing focus on your personal development (annual training budget of EUR 750, mentoring opportunities, constant career development conversations)
• Healthy mind in a healthy body: With us you will receive a 30 EUR Urban Sports Club grant to keep you fit. In addition, we have a small sports room in the office ourselves.
• Always mobile: You will receive EUR 40 credit per month for NAVIT, a sustainable mobility tool for public transport, bike sharing and much more.
• Legendary Events: Quarterly team events, winter and summer parties, budget for birthdays and anniversaries of our employees

• 4+ years of experience in analytics, data science, or marketing science/analytics, ideally in a marketplace or platform business
• Expert-level SQL and strong experience with dbt or similar transformation tools
• Proficiency with BI and visualization tools/frameworks (e.g., Metabase, Tableau, Streamlit)
• Deep understanding of digital marketing ecosystems (e.g. Google, Meta, TikTok, CRM tools like Salesforce)
• Hands-on experience with attribution modeling, experimentation, and performance measurement
• Python experience is a strong plus, especially for statistical modeling
• AI-first mindset, leveraging modern AI tools to improve workflows and impact
• High ownership: proactively identifying problems and driving solutions end-to-end

Zenjob is an AI-powered flexible staffing platform that has efficiently connected companies and temporary workers since 2015. Companies use our platform to book ready-to-work staff in real time, while students use our app to find part-time jobs that conveniently fit around their studies. Over 40,000 students and 1,000 partner companies from logistics, retail, and hospitality in all major German cities share our belief that good work is not a coincidence. It is the result of innovative technology and genuine commitment. Good work starts here.