Data Scientist I Or Ii (mad-bs-or)

Hitachi High-Tech America, Inc.

Hillsboro, OR, US
Base: $99,608 - $136,961 (level i) / $121,673 - $1...
Hybrid (60% remote, 40% onsite)
Machine learning algorithm development
Time-series forecasting and anomaly detection
Python programming with tensorflow or pytorch
Hitachi High-Tech America, Inc. is seeking a Data Scientist I or II for their Metrology and Analysis Systems Division in Hillsboro, OR. The role involves developing AI software and systems, with responsibilities including machine learning model development, data analysis, and collaboration with cross-functional teams

Job Summary

  • This role involves developing and maintaining Artificial Intelligence software for Hitachi High-Tech America's metrology products.
  • Candidates will design end-to-end ML pipelines including data ingestion, feature engineering, and deployment using Python frameworks.
  • The position requires translating business problems into technical solutions while collaborating with cross-functional engineering teams.

Matching Summary

Match Score: 85

Hitachi High-Tech America, Inc. is seeking a Data Scientist I or II for their Metrology and Analysis Systems Division in Hillsboro, OR. The role involves developing AI software and systems, with responsibilities including machine learning model development, data analysis, and collaboration with cross-functional teams.

Salary

Base: $99,608 - $136,961 (Level I) / $121,673 - $167,301 (Level II); Bonus/Equity: Eligible for bonus pay and allowances; Benefits: Not specified

Skills & Requirements

Must-have

  • Machine Learning algorithm development
  • Time-series forecasting and anomaly detection
  • Python programming with TensorFlow or PyTorch
  • Root Cause Analysis (RCA) and Fault Tree Analysis
  • Agentic AI and LLM system implementation
  • MLOps and containerization with Docker/Kubernetes

Nice-to-have

  • Experience with semiconductor metrology equipment
  • Signal processing or physics-based modeling knowledge
  • Graph-based reasoning or causal inference skills
  • Strong communication with domain experts
  • Test-driven development practices
  • International travel willingness

Key Requirements

  • Master of Science degree in Data Science or related field
  • Five years of practical experience in Machine Learning and Statistical Modeling
  • Proven experience with Agentic AI and LLM systems
  • Hands-on experience with Root Cause Analysis and Fault Tree Analysis

Work Rights

Not specified

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