Senior Data Scientist
Seattle 400 Dexter - WA, United States
USD 137K-183K Senior-level Full Time
Tasks
- Assess bias calibration and traceability
- Build analytical context evaluation harnesses
- Build analytical features and prototypes
- Coach peers on evaluation design and decision making
- Conduct statistical modeling and causal inference
- Create analyses visualizations and narratives
- Define KPIs and analytics measurement plans
- Design and execute LLM RAG and agent evaluations
- Develop evaluation rubrics and golden datasets
- Develop reusable notebooks and prompt evaluation assets
- Frame AI hypotheses and success metrics
- Measure hallucination risk and uncertainty
- Partner on dataset retrieval corpora and feature pipelines
- Perform code and analysis reviews
- Use agent tools to validate reasoning traces
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Amazon Athena | Amazon Bedrock | Amazon Neptune | Amazon RDS | Amazon S3 | Bias Assessment | Causal Inference | Decision Science | Embeddings | Embeddings Similarity | Evaluation metrics | Experiment design | Experimental Methods | Feature Engineering | GitHub Copilot | Hallucination Risk | Information Retrieval | Knowledge graphs | LLM | Langgraph | Langsmith | Machine Learning | Model calibration | NLP | NumPy | OpenSearch | Pandas | PostgreSQL | Prompt engineering | PyTorch | PydanticAI | Python | Quasi Experimental | Quasi-experimental methods | R | RAG | SQL | SageMaker | Scikit-learn | Statistics | StatsModels | Streamlit | Structured Output | TensorFlow | Uncertainty Estimation | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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