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Data Science Jobs in Oregon (NOW HIRING)

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

Our work is about consistently solving a multitude of client problems with data engineering and data science solutions. You'll learn about data engineering pipelines, big data and marketing data sets ...

We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

OR · On-site

Scope and co-develop production-level data science projects with our customers across different industries and use cases * Help users discover and master the Dataiku platform via user training ...

OR · On-site

$135K - $160K/yr

Work with Data Science and other cross functional teams to define requirements, optimize data collection, build data assets, and deliver insights on business strategy and patient care * Develop ML ...

... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

OR · On-site

Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ground up on Databricks. You'll ship production solutions - from predictive forecasting to AI agents ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling. * Cross-Functional ...

OR · On-site

Master's degree in Data Science, Biostatistics, Health Informatics, Computer Science, or a related field. * Python Proficiency: 7-8+ years of hands-on experience in Python, including data science and ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

Support Data Science Excellence: Participate in peer reviews, knowledge-sharing forums, and data science communities to promote high-quality analytics practices and continuous learning. * Manage ...

Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...) * Strong knowledge of key programming concepts (e.g. split ...

OR · On-site

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and ...

$149K - $187K/yr

D. in Mathematics, Computer Science, Statistics, or a closely related field * 5+ years of experience as a Data Scientist or Machine Learning Engineer * Proven track record of deriving meaningful ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

OR

$372K - $600K/yr

Work closely with data science and engineering stakeholders to act as a strategic thought partner and onboard new workflows. Design, build, operate, and maintain mathematics and engineering ...

OR · On-site

$480K - $750K/yr

The Member Experience Data Science and Engineering team is at the forefront of driving innovations in Netflix's core product experience within our streaming and new business domains through data. The ...

Data Scientist

OR · Remote

$130K - $150K/yr

Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field * Ability to develop and productionize code in Python to serve API endpoints (e.g.

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

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Showing results 1-20

Data Science information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do data science jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data science in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What cities in Oregon are hiring for Data Science jobs? Cities in Oregon with the most Data Science job openings:
Infographic showing various Data Science job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.
Data Scientist 1

Data Scientist 1

Adswerve, Inc

OR • On-site, Remote

$95K - $115K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Department: Tech Services

Job Title:  Data Scientist 1

Compensation: $95,000 - $115,000

Location: Arizona, Colorado, Connecticut, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Jersey, New Mexico, Pennsylvania, Tennessee, Texas, Utah, Virginia, and Wisconsin.

Adswerve is looking for an aspiring Data Scientist to join the Technical Services team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client-facing consultative interpersonal skills. They will be naturally curious about data purity, big data analysis, machine learning, and product development, and have proven strengths in data science and data engineering. Our team of Data Engineers and Data Scientists are responsible for collaborating with clients and internal teams to solve complex data-related challenges for some of the biggest brands in the world. 

This is not a typical data scientist role. Our work is about consistently solving a multitude of client problems with data engineering and data science solutions. You'll learn about data engineering pipelines, big data and marketing data sets and apply your understanding of data science and machine learning concepts. You will be our client's hero, achieving daily wins by applying marketing segmentation, attribution and propensity modeling to surface sophisticated insights out of marketing data warehouses that you help build.

Responsibilities
  • Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
  • Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions
  • Audit existing datasets for accuracy, reliability and consistency
  • Advise senior team members to identify data models and algorithms to apply to unique client problems
  • Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
  • Coordinate with internal and client data engineering teams to implement models and supervise outcomes
  • Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites
  • Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines
  • Other duties as assigned
Experience
  • College degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data science
  • Skilled with SQL and Python for advanced analysis required
  • Experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data
  • Machine Learning Framework experience
  • Familiar with how JavaScript is used for websites
  • Proven track record to solve complex problems with timely delivery, the highest quality, and creativity in the approach
  • Ability to listen and understand business needs and creatively develop solutions
  • Ability to work on a team and manage individual prioritize workload
  • Strong desire to become a proficient Data Scientist for a fast paced company

This position pays a base salary of $95,000 to $115,000 per year. Wage differential is based on training and experience.

Our team of 250+ employees is spread out across 26 states and six countries. We keep everyone connected remotely with a team-oriented culture where everyone contributes and feels valued for their skills and unique perspectives.
If you want to work alongside the best and brightest analytics minds, we'd love to hear from you. You can get hands-on with the latest ad tech, work with exciting clients and pave the way for new industry processes and advancements. All while working for a company that prioritizes your work-life balance. Plus, we offer full-time Adswerve employees benefits you'll love:

  • Medical, dental and vision available for employees
  • Paid time off including vacation, sick leave & company holidays
  • Paid volunteer time
  • Flexible working hours
  • Summer Fridays
  • "Work From Home Light" days between Christmas and New Year's Day
  • 401(k) Plan with 5% company match and no vesting period
  • Employer Paid Parental Leave
  • Health-care Spending Accounts
  • Dependent-care Spending Accounts
  • Employer Paid Basic Life Insurance
  • Voluntary Life Insurance (Employee/Spouse/Child)
  • Employer Paid Short & Long Term Disability
  • Employee Assistance Program (EAP)
  • Continuing Education Reimbursement
  • Employee Referral Bonus Program
  • Monthly Remote Work Stipend
  • New Hire Office Equipment Reimbursement

Adswerve is an Equal Opportunity and E-Verify Employer. All qualified applicants will receive consideration without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, physical or mental disability, medical condition, gender identity, gender expression, results of genetic testing, service in the military, or on any other basis that would be in violation of any applicable federal, state, or local law. Adswerve 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.

If you require assistance with your application, please reach out to careers@adswerve.com

Screening of Applications Begins: Immediately and will continue until the position is filled. For best consideration, please apply by the end of June!

Recruitment Agencies: We are not utilizing external 3rd party recruitment agencies for this search. Should those needs change, we will seek your assistance directly.Â