Data Scientist I or II (MAD-BS-OR)
(HTA) NCP (Hillsboro, OR), United States
USD 99K-167K Mid-level Full Time
Tasks
- Build fault tree analysis frameworks
- Build machine learning pipelines
- Collaborate with cross-functional teams
- Containerize and manage deployments
- Create functional specifications
- Create retrieval-augmented generation pipelines
- Deploy models via REST APIs
- Design document and validate ML architectures
- Develop Agentic AI systems
- Develop machine learning algorithms
- Develop, train, and deploy machine learning models
- Implement LLM-based systems
- Integrate and test software
- Participate in design reviews code reviews and test reviews
- Perform functional tests
- Perform root cause analysis
- Translate business problems into technical solutions
Perks/Benefits
Skills/Tech-stack
Agentic AI | Agile | Anomaly Detection | CI/CD | Cause analysis | Classification | ClickHouse | Data Ingestion | Docker | Faiss | FastAPI | Fault Tree | Fault Tree Analysis | Feature Engineering | Flask | InfluxDB | Kubernetes | LLM | MLOps | Machine Learning | Model Monitoring | Model versioning | Neural Networks | Pandas | Pattern Recognition | PostgreSQL | Prometheus | Prompt engineering | PyTorch | Python | Qdrant | RAG | REST APIs | Regression | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | SQL | Scikit-learn | Series forecasting | Spark | Statistical modeling | TensorFlow | Test-Driven | Test-Driven Development | Time Series | Time Series Forecasting | Tool-Calling | Tree analysis | Vector Databases
Education
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