Senior Data Scientist, Search & Recommendations
Tasks
- Apply embeddings and LLM based approaches for search and discovery
- Build ranking and recommendation models using user behavior embeddings and content signals
- Build scalable data pipelines with data and search engineers
- Design machine learning models for search and recommendation systems
- Develop personalization systems for contextual results
- Integrate machine learning models into production services via APIs
- Monitor offline and online metrics for relevance and ranking improvements
- Run A B tests to evaluate model performance and business impact
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Integration | Apache Spark | B testing | Deep learning | Distributed Systems | Elasticsearch | Embeddings | LLM | Language Processing | Learning-to-Rank | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | Solr | Supervised Learning | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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