Data Scientist I or II (MAD-BS-OR)
AI summary of the role
This Data Scientist role at Hitachi High-Tech America focuses on developing AI/ML software for semiconductor metrology equipment.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Develop, train, and deploy ML models for time-series forecasting, anomaly detection, classification, regression, and predictive maintenance on sensor data
- Design end-to-end ML pipelines including data ingestion, feature engineering, model training, evaluation, and deployment
- Lead Root Cause Analysis (RCA) investigations and build Fault Tree Analysis (FTA) frameworks using data-driven approaches
- Design and develop Agentic AI systems for autonomous reasoning, tool usage, and multi-step diagnostics workflows
What you’ll bring
- Master of Science in Data Science, Statistics, Computer Science, or similar quantitative field
- At least 5 years of practical experience in machine learning, statistical modeling, neural nets, and pattern recognition
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Proven experience with time-series analysis, anomaly detection, and statistical modeling
Technologies
Python · TensorFlow · PyTorch · Scikit-learn · Pandas · Spark · SQL · FastAPI · Flask · Docker · Kubernetes · Prometheus
About Hitachi Energy
Builds grid hardware, HVDC systems, power electronics, software, and services that utilities, data centers, transport, and industry use to electrify reliably.
Acquired · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
position will be offered a job title/level (Data Scientist I vs. Data Scientist II) that is most appropriate after evaluating the person's education, experience, training, knowledge, skills, and abilities. POSITION SUMMARY Data Scientists are responsible for the development and maintenance of Artificial Intelligence (AI) software and systems for Hitachi High-Tech America, Inc. (HTA) products. PRIMARY RESPONSIBILITIES Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration Develop, train, and deploy ML models for Time-series forecasting and anomaly detection. Classification and regression on tabular and sensor data, predictive maintenance and failure prediction Design end-to-end ML pipelines including Data ingestion, feature engineering, model training, evaluation, and deployment Lead and
More from the job description
Location: (HTA) NCP (Hillsboro, OR) Job ID: R0128931 Date Posted: 2026-05-01 Company Name: HITACHI HIGH-TECH AMERICA, INC. Profession (Job Category): Data Analytics/Business Intelligence Job Schedule: Full time Remote: No Job Description: POSITION: Data Scientist I or II DIVISION: Metrology and Analysis Systems Division (MAD) COMPANY: Hitachi High-Tech America, Inc. (“HTA”) TRAVEL: Up to 5% (internationally) REMOTE WORK: Hybrid (+50% Remote) – Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position’s base pay only. This position may be eligible for other compensation including bonus pay and/or allowances. Candidates will receive additional information during the interview and selection process. Position Level: The best fit candidate selected for this position will be offered a job title/level (Data Scientist I vs. Data Scientist II) that is most appropriate after evaluating the person's education, experience, training, knowledge, skills, and abilities. POSITION SUMMARY Data Scientists are responsible for the development and maintenance of Artificial Intelligence (AI) software and systems for Hitachi High-Tech America, Inc. (HTA) products. PRIMARY RESPONSIBILITIES Hands-on development and write algorithms in machine learning, statistical modell [... source excerpt omitted ...] -Augmented Generation (RAG) Structured outputs and validation pipelines Partner with cross-functional teams (Data Engineers, Software Engineers, Domain Experts) Build scalable, production-ready solutions using: Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Data processing tools (Pandas, Spark, SQL) Deploy models and services using: REST APIs (FastAPI, Flask) Containerization (Docker, Kubernetes) Work with modern data platforms: Time-series DBs (e.g., Prometheus, InfluxDB) Analytical DBs (e.g., ClickHouse, PostgreSQL) Vector DBs (e.g., Qdrant, FAISS) Translate business problems into technical solutions Creating architecture and complex designs in [... source excerpt omitted ...] ifications Participate in design reviews, code reviews of peers and test reviews Performing functional tests Other duties as assigned EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative field EXPERIENCE and TRAVEL REQUIREMENTS Must have at least five (5) years of practical experience in writing algorithms in Machine Learning, Statistical Modelling, Neural Nets, and Pattern Recognition from data exploration Five (5) years of experience in Data Science / Machine Learning Strong programming skills in Python Proven experience with: Time-series analysis and anomaly detection Stat
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