Senior Data Scientist, Dynamic Promo Quick Commerce

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. Youll help build technology that scales our non-food offerings reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team youll 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 youre a strong coder with a hacker mentality and thrive in high-scale applied ML and econometric problems wed 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 youre in good shape then were 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 well 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 weve 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 youre excited to grow collaborate and be part of the worlds leading                  delivery platform wed 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 experiencejust let us know with an email to our Inclusion Officer at

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Remote Work :

No

Employment Type :

Full-time