Data Scientist Visa Sponsorship Jobs in Oregon
Data scientist visa sponsorship jobs in Oregon are concentrated in Portland, where Nike, Intel, and a growing cluster of health tech and financial services firms actively hire. The broader metro also pulls in candidates for roles at Daimler Trucks North America and Oregon Health and Science University, making it one of the Pacific Northwest's most active sponsorship markets outside Seattle.
Find Data Scientist JobsOverview
Showing 5 of 5+ Data Scientist Jobs in Oregon with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Data Scientist Jobs in Oregon with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist Jobs in Oregon with Visa Sponsorship.
Get Access To All JobsLocation:
(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 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
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 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
Data Scientist Job Roles in Oregon
See all Data Scientist Jobs in Oregon
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Scientist Jobs in OregonData Scientist Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for data scientists in Oregon?
Intel is one of the most consistent H-1B visa sponsors for data scientists in Oregon, particularly at its large Hillsboro campus. Nike, Providence Health, and Cambia Health Solutions also appear regularly in Department of Labor LCA filings for data science roles. Oregon Health and Science University sponsors data scientists through both H-1B and J-1 visa pathways. Smaller Portland-based tech firms occasionally sponsor as well, though at lower volumes.
Which visa types are most common for data scientist roles in Oregon?
The H-1B is the most common visa category for data scientists in Oregon, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field like statistics, computer science, or applied mathematics. Some academic and research positions at institutions like Oregon State University or OHSU use J-1 visas. Candidates with extraordinary ability in data science may also pursue O-1A petitions.
Which cities in Oregon have the most data scientist sponsorship jobs?
Portland and the surrounding metro area, including Hillsboro and Beaverton, account for the large majority of data scientist sponsorship activity in Oregon. Intel's semiconductor campus in Hillsboro alone drives significant volume. Eugene has a smaller but present market, partly linked to the University of Oregon's research programs. Corvallis, home to Oregon State University, also generates some sponsorship activity through research and biotech roles.
How to find data scientist visa sponsorship jobs in Oregon?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, and you can filter directly for data scientist roles in Oregon. This saves time compared to manually screening general job postings where sponsorship status is often unclear. Migrate Mate also consolidates employer sponsorship history, helping you prioritize companies with a track record of filing H-1B petitions for data science positions in the Oregon market.
Are there state-specific factors that affect data scientist sponsorship hiring in Oregon?
Oregon's concentration of semiconductor manufacturing, health systems, and athletic apparel companies creates demand for data scientists with domain expertise in supply chain analytics, clinical data, and consumer behavior. The Department of Labor prevailing wage determinations for data scientist roles in the Portland metropolitan area are set at levels that reflect the region's competitive tech market, which employers must meet when filing Labor Condition Applications. Oregon also has no state income tax on wages, which some candidates factor into employer negotiations.
What is the prevailing wage for sponsored data scientist jobs in Oregon?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.