Data Scientist, Next Gen Recommendation Systems
Tasks
- Build retrieval and ranking pipelines
- Build semantic embeddings for entities and relationships
- Collaborate with engineering, product, and business stakeholders
- Create production grade ML pipelines and monitoring
- Design recommendation models for partnership graph
- Develop graph machine learning and representation learning methods
- Implement batch and real time recommendation serving
- Perform experimentation statistical analysis
- Run offline evaluation and online A B testing
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Approximate Nearest Neighbor | B testing | CI/CD | Candidate Generation | Counterfactual Inference | Counterfactual evaluation | Databricks | Drift Detection | Embeddings | Feature Store | Graph Machine Learning | Learning-to-Rank | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Monitoring | Nearest neighbor | Observability | Personalization | Python | Ranking Models | Representation Learning | Retrieval | SQL | Spark | Statistical Analysis | Vector Search
Education
N/A
Roles
Regions
Countries
States
Cities
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