Data Scientist I or II; MAD-BS

Position: Data Scientist I or II (MAD-BS-OR)
Location:

(HTA) NCP (Hillsboro, OR)
Job : R0128931

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 IIDIVISION:
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 SUMMARYData 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., Tensor Flow, 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., Click House, 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, 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

Statistical…