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Data Analytics Computer Science Jobs in Portland, OR

nLIGHT

Temporary Data Scientist

Vancouver, WA · On-site

$45 - $58/hr

... analysis experience in a high-tech manufacturing, semiconductor, or similar environment ispreferred. * Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a ...

Deloitte

Data Scientist

Portland, OR · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and ...

Hitachi

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

Hillsboro, OR · On-site +1

$121K - $167K/yr

Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative ... Fault Tree Analysis (FTA) or failure modeling * Experience working with real-world, noisy, and ...

Deloitte

AI and Data Science Engineer III

Portland, OR · On-site

$121K - $145K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) * 4+ years of experience in data science, analytics, or a related field - with direct experience in ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Analytics/Science, Artificial Intelligence and Robotics - At least one of the following:

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Portland, OR

Data Analytics Computer Science information

See Portland, OR salary details

$26

$58

$100

How much do data analytics computer science jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data analytics computer science in Portland, OR is $58.06, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $65.77 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities near Portland, OR are hiring for Data Analytics Computer Science jobs? Cities near Portland, OR with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you
Infographic showing various Data Analytics Computer Science job openings in Portland, OR as of June 2026, with employment types broken down into 6% Internship, 58% Full Time, 24% Part Time, 6% Contract, and 6% Nights. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution, with an average salary of $120,763 per year, or $58.1 per hour.
Temporary Data Scientist

Temporary Data Scientist

nLIGHT

Vancouver, WA • On-site

$45 - $58/hr

Temporary

Medical, Dental, Vision

Posted 9 days ago

Job description

Who We Are
At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively growing market. We are a leading provider of high-power semiconductors and fiber lasers for industrial, microfabrication, and aerospace & defense applications, to name a few. Our lasers are changing not only the way things are made, but also changing the things that can be made.
Headquartered in Camas, Washington, nLIGHT is a publicly listed company (NASDAQ: LASR).
We are seeking a Temporary Data Scientist to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from multiple systems to identifytrends, improve process understanding, and helppredict manufacturing performance. The ideal candidate brings strong technical data skills, experience working with complex datasets, and the ability to communicate insights clearly to cross-functional stakeholders.

This position is anticipated to last approximately 9 months.

Responsibilities
    • Collect, clean, and structure data from multiple sources, including databases, APIs, and spreadsheets, to support meaningful analysis.
    • Develop, test, and apply statistical models, analytical methods, and machine learning techniques to solve business and manufacturing challenges.
    • Create reports, dashboards, and visualizations that translate technical findings into clear insights for non-technical audiences.
    • Partnerwith cross-functional teams, including Operations and Planning, toidentifyopportunities for improved performance and decision-making.
    • Present findings and recommendations to internal stakeholders in a clear, concise, and actionable manner.
Requirements
    • Strong SQL and relational database skills, including experience writing complex queries and working with Microsoft SQL Server and/or Azure SQL.
    • Experience integrating and transforming data from multiple sources, including on-premises and cloud-based systems.
    • Strong background in statistics, data analysis, and correlation methods, withproficiencyin Python, R, or similar analytical tools.
    • Knowledge ofsemiconductor,laser, or other advanced manufacturing processes ispreferred.
    • Demonstrated ability to work independently, manage complex data challenges, andcommunicate findingseffectively to a range of audiences.
    • Advanced Excel skills arerequired; experience with Power BI ispreferred.
    • Experience working with complex enterprise data environments and large datasets.
    • 3+ years of hands-on data analysis experience in a high-tech manufacturing, semiconductor, or similar environment ispreferred.
    • Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus.
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS:
This is a fixedterm (approximately 9 months), non-exempt role with a competitive pay and benefits.
Data Scientist pay range:$45.00-$58.00 hourly
Other compensation and benefits
  • Eligible for health benefits on the 1st day of the month after your start date
  • Medical, Dental and Vision Benefits, including prescription and orthodontia with employee-paid premiums as low as $40.00 per pay period
  • Employee Assistance Program
  • Flexible Spending and Health Savings Accounts
  • Pet Insurance

nLIGHT is subject to US Export Control regulations. To qualify for this position, you must be a US Person (that is, a US citizen, lawful permanent resident, or protected individual granted asylum or refugee status).

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster:Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at (360) 566-4460 orHR@nlight.net.
E-Verify Participation:
nLIGHT participates in the E-Verify program. This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization.
For more information, please review the following notices:
  • E-Verify Participation Poster
  • Right to Work Poster
Employment Type: Temporary Employee

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