Staff Data Scientist
USA - California - San Jose - Corp - N First St, United States
USD 176K-262K Senior-level Full Time
Tasks
- Analyze complex datasets
- Architect MCP servers
- Build retrieval pipelines
- Collaborate with cross-functional teams
- Define LLM based best practices
- Design end-to-end AI systems
- Design evaluation and experimentation frameworks
- Develop LLMOps frameworks
- Develop data models and algorithms
- Engineer and optimize prompts
- Ensure data quality and integrity
- Establish metrics and statistical validation approaches
- Implement embedding indexing and document processing
- Lead data science projects
- Mentor junior data scientists
- Optimize retrieval quality
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | BM25 | Causal Inference | Chroma | Cross-Encoders | Data Quality | Data Quality Validation | Deep learning | Distributed Systems | Embeddings | Experiment design | Experiment tracking | Faiss | Faithfulness Evaluation | FastAPI | Fine Tuning | Hallucination detection | Hugging Face | Hybrid search | Hypothesis Testing | Knowledge graphs | LLMOps | Language Models | Large Language Models | Latency optimization | LoRA | MCP | Machine Learning | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | NumPy | Observability | Orchestration frameworks | PEFT | Pandas | Pinecone | Probability and statistics | Prompt engineering | PyTorch | Python | Quality validation | Recommendation Systems | Reranking | Retrieval-Augmented Generation | Semantic Search | Spark | TensorFlow | Token Usage Monitoring | Token usage | Usage monitoring | Vector Databases | Vector Search | Weaviate
Education
Roles
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