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Data Science Jobs in Corvallis, OR (NOW HIRING)

Hp

Principal Data Solutions Architect

Corvallis, OR

$147K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or ... Data Analysis * Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems

micro1 AI

AI Training Specialist - Life Sciences

Salem, OR · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

micro1 AI

AI Training Specialist - Life Sciences

Salem, OR · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

micro1 AI

Digital Chemistry Specialist - Remote

Salem, OR · Remote

$90 - $120/hr

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

micro1 AI

Digital Chemistry Specialist - Remote

Salem, OR · Remote

$90 - $120/hr

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

Stem Xpert

Data Analyst

Salem, OR

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

Willamette University

Artist Associate

Salem, OR · On-site

$62.43/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

Willamette University

Director of Instrumental Music

Salem, OR · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

Willamette University

Instructional Technology Associate

Salem, OR · On-site

$40 - $45/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

Willamette University

Facilities Management Purchaser

Salem, OR · On-site

$24.52/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

Willamette University

Head Coach, Softball

Salem, OR · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

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Showing results 1-20

All JobsData Science JobsData Science Jobs in Corvallis, OR

Data Science information

See Corvallis, OR salary details

$38.9K

$127.2K

$203.6K

How much do data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science in Corvallis, OR is $127,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $140,900.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Corvallis, OR? The most popular types of Data Science jobs in Corvallis, OR are:
What are popular job titles related to Data Science jobs in Corvallis, OR? For Data Science jobs in Corvallis, OR, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Corvallis, OR look for? The top searched job categories for Data Science jobs in Corvallis, OR are:
What cities near Corvallis, OR are hiring for Data Science jobs? Cities near Corvallis, OR with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Corvallis, OR as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $127,158 per year, or $61.1 per hour.

Principal Data Solutions Architect

HP Development Company, L.P.

Corvallis, OR • On-site

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted yesterday

Job description

Principal Data Solutions Architect
Description -
Principal Data Solutions Architect
Job Summary
HP PageWide Industrial operates at the intersection of high-performance hardware, industrial software, and real-time data at factory scale. This role is for a senior architect who wants to shape how industrial presses connect to cloud platforms, partner ecosystems, and AI-enabled solutions-unlocking real-time productivity insights and enabling the next generation of intelligent, autonomous press operations.
This role is responsible for partnering across solution delivery organizations to define the PWI press data strategy and APIs that integrate our presses with customer factory management systems, third-party analytics and workflow solutions, robotics, and the HP PrintOS platform and applications.
Responsibilities
  • Own and lead the end-to-end ecosystem integration architecture; consider the data, systems, and workflows spanning many domains including presses, jobs, attached or involved devices, AI capabilities and agents, and partner systems within factory settings and associated cloud services.
  • Set architectural guardrails that ensure security, scalability, reliability, and customer extensibility.
  • Define and evolve the technical roadmap and target-state architecture for press-to-factory and cloud ecosystem integrations.
  • Serve as the architectural authority to define factory-level and partner-facing API standards, contracts, and governance.
  • Partner with internal teams to ensure robust data models, schemas, versioning, and lifecycle management.
  • Lead evaluation and adoption of industry standards and emerging opportunities.
  • Explore, prototype, and validate AI-enabled use cases leveraging press and factory data.
  • Engage directly with customers and partners as needed for technical escalations, integration strategy alignment, and early adopter and pilot engagements.
  • Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Build and manage relationships throughout the Industrial Print organization.
  • Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
  • Provide guidance and mentoring to less experienced staff members.

Education & Experience Required
  • Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience designing and delivering high-performant industrial software, data engineering, cloud platforms, or a related field.
  • Experience in industrial automation, smart manufacturing, IIoT, robotics, or factory software ecosystems is appreciated.
  • Hands-on experience with applied AI/ML systems, analytics platforms, or data science collaboration.
  • Familiarity with cybersecurity considerations in industrial and cloud-connected environments.
  • Experience working with external partners, standards bodies, or large enterprise customers.

Desirable Knowledge & Skills
  • Agile Methodology
  • AI Domains for Industrial Applications
  • computer vision, agentic AI, predictive maintenance, anomaly detection, troubleshooting
  • Amazon Web Services
  • Big Data
  • Data Analysis
  • Data Engineering
  • Data Modeling
  • Digital Twins
  • Hybrid Edge+Cloud Systems
  • Extract Transform Load (ETL)
  • Product Leadership
  • Python (Programming Language)
  • Roadmap Develoiper
  • Scalability
  • SQL (Programming Language)
  • Software Architecture
  • System Analysis

Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity
  • Sound Judgment
  • Creative Understanding

Impact & Scope
  • Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
  • Provides highly innovative solutions to complex problems within established policy.

Disclaimer
  • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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