Requirements

5+ years of industry experience applying Data Science and Machine Learning in production
Expertise in causal inference and uplift modeling for user targeting and intervention strategies, alongside time series analysis
Strong statistical foundations and ability to distinguish signal from noise in large-scale experimentation and A/B testing
Excellent engineering skills: write clean, maintainable Python code; experience bringing ML models into production with best practices for observability and monitoring
Proven ability to lead independently and work cross-functionally with engineers and product stakeholders, translating business problems into DS solutions
A proactive hacker mentality: pragmatic, hands-on, and comfortable iterating fast to get solutions live

Nice to Have

Experience scaling personalization and causal systems across multiple markets and heterogeneous platforms
Familiarity with cloud platforms (GCP, AWS)
Contributions to the data science community (conference talks, papers, OSS)
Experience mentoring other team members and driving knowledge sharing

Design, experiment, and deploy classical ML and uplift models (including personalisation) to measurably improve affordability perception and user experience at global scale
Independently lead end-to-end data science initiatives, from technical design and implementation to effective communication with business stakeholders
Drive experimentation: formulate hypotheses, analyze A/B tests, and turn insights into production-ready solutions for better targeting and incentive deployment
Apply advanced time series and causal inference techniques to model and forecast the supply and demand of incentives
Leverage live user signals and context to make affordability interventions more adaptive and dynamic
Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production
Contribute to the long-term vision of affordability intelligence and personalisation at QC, while delivering short-term wins that unlock measurable business impact
Mentor and inspire peers, raising the quality bar for Data Science in causal inference and personalization across the tribe

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym
Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers