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Job description
Location
(HTA) NCP (Hillsboro, OR)
Job ID
R
Date Posted
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 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 support Root Cause Analysis (RCA) investigations using data‑driven approaches
Build frameworks for Fault Tree Analysis (FTA) and failure mode identification
Collaborate with domain experts (engineering, operations) to translate failure patterns into ML features and models
Design and develop Agentic AI systems capable of: Autonomous reasoning over structured and unstructured data
Tool usage (query engines, APIs, analytics pipelines)
Multi‑step decision making and diagnostics workflows
Implement LLM‑based systems with: Tool‑calling frameworks
Retrieval‑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 independently and documenting them
Integrate and test software to confirm compliance with specifications
Developing functional specifications
Participate in design reviews, code reviews of peers and test reviews
Performing functional tests
Other duties as assigned
Education, Licences, 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
Statistical modeling and machine learning algorithms
Hands‑on experience with: Root Cause Analysis (RCA)
Fault Tree Analysis (FTA) or failure modeling
Experience working with real‑world, noisy, and large‑scale datasets
Experience with Agentic AI / LLM systems, including: Tool‑calling architecture
RAG pipelines
Prompt engineering and evaluation frameworks
Familiarity with: Distributed systems and scalable ML infrastructure
MLOps practices (CI/CD, monitoring, model versioning)
Knowledge of: Signal processing or physics‑based modeling
Graph‑based reasoning or causal inference
Full software development lifecycle experience, must be comfortable working using Agile as well as iterative methodologies
Experience with Test‑driven development using tools to spot performance issues and memory leaks.
This position requires international travel for business purposes - up to 5%
Skills and Abilities Requirements / Safety Requirements
Ability to investigate and apply new technologies
Effective oral and written communication skills, including ability to effectively communicate challenging or technical concepts.
Excellent relationship building skills
General technical knowledge of semiconductor metrology equipment
Strong engineering analytical and problem‑solving skills
Proactively undertake R&D activities and deliver tangible results under deadlines
Ability to manage multiple tasks and prioritize work accordingly
Work longer than normal hours as needed during releases and customer escalations
Self‑sufficient, self‑reliant, and self‑disciplined, but also able to operate effectively as part of a team
Ability to comprehend and enforce safety policies
Equal Opportunity Employer (EOE)
Hitachi High-Tech America, Inc. is an equal opportunity employer. Hitachi High-Tech America, Inc. is committed to equal employment opportunities for qualified applicants without discrimination on the basis of actual or perceived race (including traits historically associated with race, such as natural hairstyle), color, national origin, ancestry, religious creed, age, sex, sexual orientation, gender (including gender expression and gender identity), marital status, registered domestic partner status, family status, military and veteran status, domestic violence victim status, medical condition (including genetic characteristics), physical or mental disability, pregnancy, or any other legally protected characteristic or status.
If you require reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please direct your inquiries to HTA‑ ‑hightech.com
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Worksite address
hillsboro, OR, 97104, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.