Data Scientist I or II (MAD-BS-OR)

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, 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 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 of 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-AccommodationRequests@hitachi-hightech.com