Senior Data Scientist (Content, Consumer)

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

Were 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 were leveraging LLMs and modern NLP approaches to turn messy real-world user content into clear actionable signals.

Were in the middle of rebuilding momentum and ownership of these systems with a lot still undefined and up for grabs. This isnt about incremental modeling its 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

• Youll 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.
• Youll drive the product and roadmap through problem discovery identifying high-impact opportunities quantifying business value and translating them into concrete DS/ML initiatives.
• Youll 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.
• Youll 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.
• Youll 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.
• Youll define and operationalize meaningful metrics ensuring evaluation reflects true business value rather than misleading proxies.
• Youll 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 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