**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 enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

**Job Description**

We are on the lookout for a **Senior Data Scientist** to join our **Content** tribe.

We’re building the next generation of ratings & reviews (social proof) systems from scratch — reimagining how millions of users make decisions across our platforms. This is a true greenfield space where we’re leveraging LLMs and modern NLP approaches to turn messy, real-world user content into clear, actionable signals.

We’re in the middle of rebuilding momentum and ownership of these systems, with a lot still undefined and up for grabs. This isn’t about incremental modeling — it’s about taking full ownership of data products end-to-end: shaping the problem, building the solution, and making it work reliably in production in a fast-moving, high-impact environment.

**Your Mission**

- You’ll own and scale social proof solutions end-to-end, ensuring high quality, reliability, and coverage across languages, platforms, and use cases, while proactively managing drift, miscalibration, and data quality issues.
- You’ll drive the product and roadmap through problem discovery, identifying high-impact opportunities, quantifying business value, and translating them into concrete DS/ML initiatives.
- You’ll take ML and LLM solutions from prototype to production, building robust, scalable systems and collaborating closely with backend and data engineering on architecture and data flows.
- You'll establish LLM evaluation infrastructure, building offline evaluation pipelines and annotation processes that allow the team to make confident decisions about prompt changes, model switches, and system iterations.
- You’ll establish statistical rigor in decision-making, designing and owning A/B tests and quasi-experiments, and ensuring credible impact measurement aligned with real business outcomes.
- You’ll define and operationalize meaningful metrics, ensuring evaluation reflects true business value rather than misleading proxies.
- You’ll raise the bar for data science in the team, driving best practices, mentoring others, and contributing to a culture of ownership, pragmatism, and technical excellence.

**Qualifications**

**NLP & LLM Domain Expertise**

- You have hands-on experience with NLP and LLM-based systems in user-generated, noisy, multilingual contexts — with clear judgment on when LLMs add value, when to prompt-engineer vs. fine-tune, and how to optimize prompts systematically at scale. You can reason empirically about cost, latency, and quality tradeoffs across model providers and make principled model selection decisions.

**End-to-End Ownership & Product Execution**

- You have experience owning data science solutions end-to-end, from problem definition to production, iteration, and continuous improvement.
- You are comfortable owning production systems, not just building models, and take responsibility for reliability, performance, and outcomes.
- You write production-grade code in Python and SQL, and are familiar with ML lifecycle practices, orchestration, monitoring, and modern engineering standards (e.g., CI/CD, version control).
- You are familiar with LLM-specific observability: tracing chained LLM calls, monitoring token usage and cost, and instrumenting multi-step pipelines for reliability and debugging.
- You can translate ambiguous business problems into well-scoped DS/ML solutions, communicate trade-offs clearly, and operate effectively in fast-moving, uncertain environments.
- (Optional) You have experience working with data collection and labeling pipelines, including collaboration with annotation teams or defining labeling strategies.

**Statistical Rigor & Impact Measurement**

- You bring a strong foundation in statistics and causal inference, including experimentation, hypothesis testing, and robust evaluation practices.
- You can define meaningful metrics and challenge misleading results, ensuring decisions are grounded in real business impact.

**Scale, Leverage & Team Impact**

- You take ownership beyond your individual work, contributing to team standards, mentoring others, and raising the overall bar for Data Science.

_(Optional) You leverage agentic development tools pragmatically, using them to accelerate work while maintaining code quality, correctness, and system understanding._

**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 ](https://careers.deliveryhero.com/delivery-hero/2025-9/hybrid-work-at-delivery-hero)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 ](https://careers.deliveryhero.com/delivery-hero/2025-10/blogmoving-to-berlin-guide?utm_source=jobdescription&utm_medium=bullet+text&utm_campaign=JD+Enhancements) and how Delivery Hero can support you. You can also visit our [relocation hub](https://careers.deliveryhero.com/relocation-hub?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) 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 ](https://careers.deliveryhero.com/delivery-hero/2025-10/the-5-most-common-interview-questions-and-how-to-answer-them?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements)created in collaboration with our recruiters._

[Ready to join our team?](https://careers.deliveryhero.com/howwehire) 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 inclusion@deliveryhero.com.

**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.