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About the Role

We are seeking a Senior Data Scientist to join the Search Ranking team within our Global Search tribe. This role focuses on designing, building, and productionalizing deep neural ranking models for a high-traffic search functionality used by millions globally.

Responsibilities

Own the Ranking Stack End-to-End: Design, build, and productionalize deep neural ranking models.
Drive Agentic ML Research: Leverage LLM coding agents to autonomously iterate on feature engineering and Learning to Rank (LTR) architectures.
Lead Feature Engineering and Model Architecture Innovation: Apply expertise in ranking signals, feature stores, and embedding-based retrieval.
Ensure Production Reliability: Maintain rigorous standards for model health in production, including monitoring for model drift and latency degradation.
Collaborate Across Disciplines: Work as a technical partner with Backend Engineers, Data Engineers, and Product Managers.
Raise the Bar: Mentor junior and mid data scientists and drive best practices in experimentation rigor and code quality.

Requirements

Master's degree (or Bachelor's with 6+ years of work experience) in Computer Science, Mathematics, Physics, or a related quantitative field.
4+ years of industry experience as a Data Scientist or Machine Learning Engineer applying ML in high-traffic production environments.
Hands-on, production-proven experience implementing modern deep learning ranking architectures (DCN-V2, MMoE, Two-Tower).
Strong command of multi-task learning, cross-feature interactions, and embedding optimization at scale.
Solid foundation in LTR methods (pointwise, pairwise, listwise) and offline evaluation metrics (NDCG, MRR).
Proficiency with LLM coding agents and agentic CLI tools (e.g., Claude Code, Gemini).
Familiarity with the auto-research paradigm and comfort reviewing large volumes of autonomously generated experiment results.
Expert in Python and its ML ecosystem (PyTorch, TensorFlow, scikit-learn).
Comfortable with SQL (dbt), cloud environments (GCP or AWS), and big-data processing at scale (PySpark, Scala).
Strong command of the full ML lifecycle — feature stores, vector databases, model versioning, A/B experimentation frameworks, and deployment to high-throughput, low-latency serving infrastructure.
Hands-on experience with MLOps practices: CI/CD for ML pipelines, Metaflow, experiment tracking, model registry, and production monitoring.
Comfortable navigating ambiguity and translating broad business objectives into well-scoped data science projects.
Accountable for outcomes, not just outputs.
Demonstrated ability to work effectively in cross-functional, globally distributed teams.
Strong communication skills to articulate model behavior, experiment results, and trade-offs to both technical and non-technical audiences.

Skills

Deep Learning Ranking
Learning to Rank (LTR)
DCN-V2
MMoE
Two-Tower architectures
Multi-task learning
Embedding optimization
LLM coding agents
Agentic CLI tools
Python
PyTorch
TensorFlow
scikit-learn
SQL
dbt
GCP
AWS
PySpark
Scala
MLOps
CI/CD for ML pipelines
Metaflow
Experiment tracking
Model registry
Production monitoring
Drift detection
Latency tracking
Data quality alerting

Location

Berlin, Germany

Work Type

Hybrid

Experience Level

Senior
4+ years of industry experience

Education Level

Master's degree in Computer Science, Mathematics, Physics, or a related quantitative field
Bachelor's degree with 6+ years of work experience in Computer Science, Mathematics, Physics, or a related quantitative field

Benefits

27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to the Udemy Business platform
Health Checkups
Meditation & Gym
Employee Share Purchase Plan
Sabbatical Bank
Public Transportation Ticket Discount
Life & Accident Insurance
Corporate Pension Plan
Digital Meal Vouchers
Food Vouchers
Relocation support for moving to Berlin

About the Company

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.

Equal Opportunity

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