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Algorithm Scientist Jobs in Portland, OR (NOW HIRING)

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

... Algorithms. About the work: * Leverage data to solve a wide variety of meaningful, business ... Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional ...

This involves selecting appropriate algorithms, conducting experiments, and optimizing model ... Collaborate with data scientists to collect, clean, and preprocess large datasets required for ...

Android Developer

Beaverton, OR

$58 - $76.25/hr

C/C++, Ruby, Python, Java Solid working knowledge of the Java language Experience working JSON via RESTful interfaces Demonstrated mastery of basic computer science algorithms and data structures TDD ...

RTL Design Engineer

Beaverton, OR

$141.50K/yr

Collaborate with algorithm engineers to translate DSP concepts (filtering, transforms, modulation ... Science in Electrical Engineering.

Android Developer

Beaverton, OR · On-site

$58 - $76.25/hr

C/C++, Ruby, Python, Java Solid working knowledge of the Java language Experience working JSON via RESTful interfaces Demonstrated mastery of basic computer science algorithms and data structures TDD ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

... science degree (or additional equivalent experience). * You have 8+ years of relevant work experience or research. * Programming fluency in C/C++ with a deep understanding of algorithms and software ...

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Algorithm Scientist information

See Portland, OR salary details

$53.6K

$118.1K

$145.8K

How much do algorithm scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for algorithm scientist in Portland, OR is $118,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $145,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.
What are popular job titles related to Algorithm Scientist jobs in Portland, OR? For Algorithm Scientist jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Algorithm Scientist jobs in Portland, OR look for? The top searched job categories for Algorithm Scientist jobs in Portland, OR are:
Data Scientist I or II (MAD-BS-OR)

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

Hitachi, Ltd.

Hillsboro, OR • On-site

$121.67K - $167.30K/yr

Full-time

Posted 28 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