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Data Science Jobs in Portland, OR (NOW HIRING)

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

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 ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and enhancing data integration pipelines that support the Enterprise Data Warehouse ...

Honor

Staff Data Scientist

Portland, OR · Remote

... Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional ... Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

Cisco

Applied AI Scientist

Portland, OR

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Cisco

Applied AI Scientist

Hillsboro, OR

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Portland, OR

Data Science information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 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 Portland, OR?

The most popular types of Data Science jobs in Portland, OR are:

What are popular job titles related to Data Science jobs in Portland, OR?

For Data Science jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Portland, OR look for?

The top searched job categories for Data Science jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Science jobs?

Cities near Portland, OR with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Portland, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Temporary Data Engineer

nLIGHT

Vancouver, WA

$45 - $58/hr

Temporary

Medical, Dental, Vision

Re-posted 5 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 Engineer 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 identify trends, improve process understanding, and help predict 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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