Senior Data Scientist - (Global Search, Consumer)
Tasks
- Collaborate with backend, data, and product teams
- Conduct offline experimentation and evaluation
- Design build and productionalize deep neural ranking models
- Develop agentic ML experimentation pipelines using LLM coding agents
- Engineer ranking features and retrieval embeddings
- Implement learning to rank architectures and optimize embedding retrieval
- Manage model versioning and registry workflows
- Mentor junior and mid data scientists
- Monitor model drift latency and feature pipeline integrity
Perks/Benefits
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym access
- Health checkups
- Hybrid working model
- Language courses
- Life and accident insurance
- Meditation
- Public transportation ticket discount
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | CI/CD | DBT | DCN-V2 | Deep learning | Drift Detection | Embedding Optimization | Experiment tracking | Feature Stores | GCP | Latency monitoring | Learning-to-Rank | MMoE | Metaflow | Model Drift | Model Drift Detection | Model Monitoring | Model versioning | Multi-task Learning | PySpark | PyTorch | Python | SQL | Scala | Scikit-learn | TensorFlow | Two-Tower | Vector Databases
Education
Roles
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