Senior Data Scientist - (Global Search, Consumer)
Core
Own deep learning ranking models and lead agentic ML research using LLM coding agents to improve search ranking for Delivery Hero's global consumer platform.
Role type
Senior IC machine-learning engineer (search ranking & agentic research)
Builds
Deep neural ranking models (DCN-V2, MMoE, Two-Tower) and autonomous experiment pipelines for high-throughput, low-latency search services.
Domain
Food delivery / Global search / Deep learning / LLMs
Deliverable
production ML models
Required skills
Deep learning ranking architectures (DCN-V2, MMoE, Two-Tower), LLM coding agents (Claude Code, Gemini), Python (PyTorch, TensorFlow), MLOps (feature stores, vector DBs, CI/CD), SQL (dbt), Big Data (PySpark, Scala)
Preferred skills
LTR methods (pointwise, pairwise, listwise), embedding-based retrieval, cross-functional collaboration, mentoring
Technologies
PyTorch, TensorFlow, scikit-learn, dbt, GCP, AWS, PySpark, Scala, Metaflow, Claude Code, Gemini
Responsibilities
Design, build, and productionize deep neural ranking models; lead agentic ML research with LLM coding agents; improve ranker quality via feature engineering and model architecture; monitor production models for drift and latency; partner with engineering and product teams; mentor junior data scientists.
Seniority
Senior, hands-on IC
