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Data Science Jobs in Dallas, OR (NOW HIRING)

Electrician

Salem, OR · On-site

$25.25 - $34.50/hr

... 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 ...

... 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 ...

... 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 ...

Electrician

Salem, OR · On-site

$38.46/hr

... 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 ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Showing results 41-60

Data Science information

See Dallas, OR salary details

$37.6K

$123K

$196.9K

How much do data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science in Dallas, OR is $122,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,200.00 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.

What are the most commonly searched types of Data Science jobs in Dallas, OR?

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

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

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

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

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

Infographic showing various Data Science job openings in Dallas, OR as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $122,958 per year, or $59.1 per hour.

Instructional Technology Associate

Willamette University

Salem, OR • On-site

$40 - $45/hr

Part-time

Medical, Dental, Life, Retirement, PTO

Posted 19 days ago


Willamette University rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

458th of 618 rated colleges and universities


Job description

ABOUT WILLAMETTE UNIVERSITY:

Willamette University, founded in 1842, is a nationally-renowned private university enrolling 2800 students across five colleges. Our historic campus, adjacent to the Oregon State Capitol, hosts a distinguished undergraduate liberal arts college in Salem, Oregon. Our downtown Portland campus is home to the Pacific Northwest College of Art (PNCA). We offer a wide range of professional graduate programs, including Oregon's top-ranked MBA program, the Northwest's oldest law school, as well as MA/MFA programs at PNCA and master's degrees 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, life insurance, retirement, substantial paid time off, tuition and more. If you need assistance applying for a job or have any questions on recruitment at Willamette, please contact our HR Department, hr@willamette.edu or call us at 503-370-6210.

POSITION SUMMARY

The Instructional Technology Associate is a collaborative role within Willamette University Information Technology (WITS) division, and is responsible for supporting and advancing the University's Learning Management System and broader instructional technology environment. This position partners closely with stakeholders to promote accessibility and best practices of academic technologies across online and hybrid learning environments. This role serves as a key resource for LMS support, and a collaborative resource for emerging educational technologies including responsible applications of artificial intelligence in teaching and learning. The position works closely with Academic Technology and campus partners to enhance the overall digital learning experience for students and faculty.

RESPONSIBILITIES

  • Learning Management System Support: Serve as a technical resource for the University's learningmanagement system (Canvas), supporting course delivery and effective use of LMS features andintegrations.

  • LMS End User Support: Serve as primary triage and escalation for all support requests related tolearning management and related systems.

  • Academic Technology Support: Support instructional technologies used in course delivery and academicengagement (including AI-enabled tools and LTI's in our Learning Management System).

  • Collaboration and Coordination: Collaborate with Academic Technology, WITS teams, faculty andcampus stakeholders to support optimization of the Learning Management System.

  • Accessibility and Usability: Support accessibility best practices and promote inclusive design principleswithin digital learning environments.

  • Assist with projects as delegated related to documentation and support resources to strengtheninstitutional use of instructional technologies.

  • Additional Duties: Perform other related duties as assigned in support of evolving academic technologyand instructional needs.

QUALIFICATIONS

Minimum: Bachelor's degree preferred in a related field, or equivalent professional experience.

Preferred

  • Experience supporting learning management systems such as Canvas or similar platforms.

  • Experience supporting instructional technology within higher education or a comparable environment.

  • Excellent communication, collaboration, and relationship-building skills with the ability to translate technical concepts into practical guidance.

  • Strong organizational and project coordination skills with the ability to manage multiple priorities effectively.

  • Understanding of accessibility and usability best practices within digital learning environments.

  • Interest in emerging educational technologies, including responsible applications of artificial intelligence in higher education.

Typical Work Schedule: Part-time, 20 hours per week. Schedule is flexible but must provide regular availability between 8:00 a.m. and 5:00 p.m., Monday through Friday, based on departmental needs.

Physical Demands & Working Conditions: Ability to perform work in a standard office environment, including prolonged periods of sitting and computer use. Must be able to occasionally move equipment weighing up to 25 pounds and travel between campus locations as needed.

Salary: $40-45/hour, depending on experience

You will need to upload the following two documents as part of your application materials in the "My Experience" section labeled Resume:

  • Cover letter addressing qualifications

  • Current resume

Applications will be reviewed on a rolling basis until the position is filled.

Incomplete applications will not be considered.

Typical work schedule

BACKGROUND CHECK REQUIREMENT:
All University positions require that candidates submit to a criminal conviction record check prior to hire. Conviction does not automatically preclude candidates from being hired. Nature of conviction will be considered relative to the duties of the position.

REASONABLE ACCOMMODATIONS STATEMENT:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

INSTRUCTIONS FOR APPLICANTS:

Please read the following carefully before beginning the online application process. To be considered for employment at Willamette University, please complete our online employment application. Your application and all required attachments -- listed at the bottom of the page -- must be submitted for each individual job post that you are interested in applying. Once you submit your application you will not be able to edit your application.


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