Senior Data Scientist, Dynamic Promo - Quick Commerce

Delivery Hero SE; Deutschland; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid work

27 days holiday

Educational budget

Parental support

Udemy Business

Health checkups

Gym

Life Insurance

Accident Insurance

Pension plan

Meal vouchers

Transportation discount

Zusammenfassung

Delivery Hero is seeking a Senior Data Scientist for the Dynamic Promo team to help redefine customer experience in Quick Commerce. You’ll build scalable ML models, run causal inference and uplift strategies, and lead end-to-end data science initiatives that directly influence business impact.

You will collaborate with engineers and product stakeholders to deliver production-ready solutions, focusing on personalization and time-series insights across markets.

Qualifikationen

• 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; production ML with observability and monitoring.
• Proven ability to lead independently and work cross-functionally with engineers and product stakeholders.

Aufgaben

• Design, experiment, and deploy classical ML and uplift models to measurably improve affordability perception and user experience at global scale.
• Independently lead end-to-end data science initiatives from technical design to communicating with business stakeholders.
• Drive experimentation: formulate hypotheses, analyze A/B tests, and turn insights into production-ready solutions.

Kenntnisse

Data Science in production

Causal inference

Uplift modeling

Time series analysis

Python

Cross-functional leadership

Experimentation / A/B testing

Jobbeschreibung

Beginn

• Data Scientist

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 personalization) 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

• 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 the 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.

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 [e-mail].

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.