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About the Role
Join our Quick Commerce team to redefine customer experiences in quick commerce by building technology that scales non-food offerings, reaches new market segments, and drives revenue growth. Innovate within the team to make Delivery Hero the go-to platform for a broad range of products, accelerating growth and delivering more value globally.
Responsibilities
- 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.
Requirements
- 5+ years of industry experience applying Data Science and Machine Learning in production, ideally in large-scale consumer-facing applications.
- 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.
- 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
Skills
- Data Science
- Machine Learning
- Causal Inference
- Uplift Modeling
- Time Series Analysis
- Python
- A/B Testing
- Personalization
Location
- Berlin, Germany
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- 27 days holiday with an extra day on 2nd and 3rd year of service
- 1.000 € Educational Budget
- Language Courses
- Parental Support
- Access to Udemy Business platform
- Health Checkups
- Meditation & Gym
- Employee Share Purchase Plan
- Sabbatical Bank
- Public Transportation Ticket Discount
- Life & Accident Insurance
- Corporate Pension Plan
- Digital Meal Vouchers
- Food Vouchers
- Relocation support for Berlin
About the Company
- As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door.
- We operate in around 65 countries worldwide, powered by tech, designed by people.
- As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
- We push hard, learn quickly and stay human along the way.
- It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side.
- If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.
Equal Opportunity
- We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
- Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.
- We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected].
- Severely disabled applicants with equal qualifications will be given preferential consideration.
- You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.