Senior Data Scientist, Dynamic Promo - Quick Commerce at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Causal Inference, Uplift Modeling, Time Series Analysis, A/B Testing, Python, Machine Learning, Personalization, Statistical Analysis, Production ML, Data Science, Econometrics, Technical Design

Industry

technology;Information and Internet

Description

Company Description 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. Job Description We are on the lookout for a Senior Data Scientist, Dynamic Promo, to join Quick Commerce on our journey to always deliver amazing experiences. Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world. This is a role for a proactive individual who has already worked on causal inference, time series problems at scale, as well as user-facing personalization and is hungry to lead initiatives independently. You will drive hypotheses, run A/B tests on customer-facing uplift models, and bring robust causal and time-series architectures into production with real business impact. If you’re a strong coder with a hacker mentality and thrive in high-scale applied ML and econometric problems, we’d love to talk. 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. Qualifications 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. 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 Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. 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. Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! 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.

Responsibilities

Design and deploy classical ML and uplift models to improve affordability perception and user experience at a global scale. Lead end-to-end data science initiatives, focusing on causal inference and time-series architectures to optimize incentive deployment.