Senior Data Scientist
Seattle 400 Dexter - WA, United States
USD 137K-183K Senior-level Full Time
Tasks
- Build Python SQL data science prototypes
- Coach peers on evaluation design and evidence based decisions
- Contribute reusable evaluation harnesses and analytics templates
- Create analyses visualizations and stakeholder narratives
- Create evaluation rubrics golden datasets and error taxonomies
- Define KPIs and impact measurement plans
- Define success metrics and evaluation plans
- Design LLM RAG and agent evaluations
- Develop analytical features embeddings and ranking scoring
- Frame AI product hypotheses
- Measure hallucination risk and uncertainty calibration
- Participate in code and analysis reviews
- Partner on dataset retrieval corpora and feature pipelines
- Perform statistical modeling causal inference and experimentation
- Prototype context quality and retrieval improvements
Perks/Benefits
- Career development opportunities
- Employee assistance program
- Flexible work arrangements
- Health and wellness programs
Skills/Tech-stack
AI Evaluation | Agentic AI | Amazon Athena | Amazon Bedrock | Amazon Neptune | Amazon RDS | Amazon S3 | Amazon SageMaker | C3 AI | C3 AI Evaluation | Causal Inference | Classification | Data Governance | Data Privacy | Embeddings | Evaluation | Experiment design | Experimental Methods | Hallucination detection | Information Retrieval | Knowledge graph | LLM | Langchain | Langgraph | Langsmith | Machine Learning | NLP | NumPy | OpenSearch | Optimization | Pandas | PostgreSQL | Prompt engineering | PyTorch | PydanticAI | Python | Quasi Experimental | Quasi-experimental methods | R | RAG | Ranking | Recommendation Systems | SQL | Scikit-learn | Simulation | Statistics | StatsModels | Streamlit | Structured Output | TensorFlow | Uncertainty calibration | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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