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Computer Science Degree Jobs in Oregon (NOW HIRING)

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PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

Bachelor of Science degree in Computer Science or equivalent experience

Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a related field and one year of experience in the job offered or as a Support Engineer, Systems Engineer ...

Master's with 2+ years of experience or PhD degree with experience in Computer Engineering, Electrical Engineering, Computer Science, or other technical engineering discipline. Must have the required ...

Advanced degree in a quantitative field such as statistics, mathematics, economics, computer science, operations research, or a related discipline * 8+ years of experience building and deploying ...

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Computer Science Degree information

See Oregon salary details

$59.7K

$87.9K

$103.6K

How much do computer science degree jobs pay per year?

As of Jul 16, 2026, the average yearly pay for computer science degree in Oregon is $87,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $98,900.00 per year, depending on experience, location, and employer.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software sales executives, cybersecurity consultants, and cloud solutions architects can earn $200,000 or more annually without a traditional degree, often relying on industry certifications, experience, and specialized skills. Additionally, some high-level sales positions, entrepreneurial ventures, and freelance consulting in technology fields can reach or exceed this income level without a formal degree.

What roles can you do with a computer science degree?

A computer science degree qualifies individuals for roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like Linux, Java, or Python, with some roles requiring certifications or specialized training.

What careers can I do with computer science?

A computer science degree opens opportunities in roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These careers often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, enabling work in technology companies, finance, healthcare, and other industries that rely on computing solutions.

What is a Computer Science degree?

A Computer Science degree is an academic program that focuses on the study of computers, computational systems, and software. Students learn about programming, algorithms, data structures, computer hardware, software engineering, and theoretical concepts underpinning computing. Graduates are prepared for careers in software development, data analysis, cybersecurity, artificial intelligence, and many other technology-related fields. The degree can be earned at various levels, including associate, bachelor's, master's, and doctoral degrees.

What are the key skills and qualifications needed to thrive with a Computer Science degree, and why are they important?

To thrive with a Computer Science degree, a strong grasp of programming languages, algorithms, and data structures is essential, typically supported by a bachelor's degree in computer science or a related field. Familiarity with development tools, version control systems like Git, and certifications such as AWS Certified Developer or CompTIA Security+ are often beneficial. Problem-solving, analytical thinking, and effective teamwork are crucial soft skills that distinguish successful professionals. Mastering these skills enables individuals to efficiently design, implement, and maintain complex software solutions in diverse technical environments.

What is the difference between Computer Science Degree vs Software Developer?

AspectComputer Science DegreeSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically requires programming skills, experience, and sometimes certifications
Work EnvironmentAcademic, research, or industry settingsTech companies, startups, or freelance projects
Industry UsageUsed as a qualification for various tech rolesPractical role focused on coding and software creation
Search & Comparison IntentUnderstanding educational requirements and career pathsJob qualifications and skills needed for software development

While a Computer Science Degree provides foundational knowledge and credentials, a Software Developer focuses on applying programming skills to build software. Many software developers have degrees in computer science, but practical experience and coding ability are equally important for the role.

What types of entry-level roles are typically available to recent graduates with a Computer Science degree, and how do these roles support career growth?

Recent graduates with a Computer Science degree often start in roles such as software developer, QA engineer, IT support specialist, or data analyst. These positions provide hands-on experience with real-world projects, exposure to collaborative team environments, and an opportunity to work with various technologies. Early career roles typically include mentorship and training, allowing new professionals to build foundational skills, specialize in areas of interest, and progress toward more advanced positions like software architect, project manager, or data scientist over time.
What are the most commonly searched types of Computer Science Degree jobs in Oregon? The most popular types of Computer Science Degree jobs in Oregon are:
What are popular job titles related to Computer Science Degree jobs in Oregon? For Computer Science Degree jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Computer Science Degree jobs in Oregon look for? The top searched job categories for Computer Science Degree jobs in Oregon are:
What cities in Oregon are hiring for Computer Science Degree jobs? Cities in Oregon with the most Computer Science Degree job openings:
Infographic showing various Computer Science Degree job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $87,870 per year, or $42.2 per hour.
Data Scientist I or II (MAD-BS-OR)

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

Hitachi, Ltd.

Hillsboro, OR • On-site

$121K - $167K/yr

Full-time

Re-posted 12 days ago


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 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

Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017