1

Information Science Jobs in Seattle, WA (NOW HIRING)

Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance - At least one of the following: a Certification in databases (Databricks, MS SQL ...

Applied Science Manager, Stores-Ads Science

Seattle, WA · On-site

$43K - $59K/yr

... Information Retrieval and Analytics - Experience programming in Java, C++, Python or related ... data science workflows Amazon is an equal opportunity employer and does not discriminate on the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics ...

New

next page

Showing results 1-20

Information Science information

See Seattle, WA salary details

$6

$48

$73

How much do information science jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for information science in Seattle, WA is $48.63, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $58.03 per hour, depending on experience, location, and employer.

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

To thrive as an Information Scientist, you need a strong foundation in data management, information retrieval, and analytical research methods, typically supported by a degree in information science or a related field. Familiarity with database management systems, data analysis tools (such as SQL, Python, or R), and metadata standards is often required, along with certifications like Certified Information Professional (CIP) being advantageous. Excellent problem-solving, communication, and organizational skills help in interpreting data needs and delivering actionable insights. These competencies ensure accurate data handling, effective information dissemination, and informed decision-making in organizations.

What is the difference between Information Science vs Data Analyst?

AspectInformation ScienceData Analyst
Required CredentialsBachelor's or Master's in Information Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often includes certifications in data analysis tools
Work EnvironmentResearch labs, libraries, tech companies, academiaBusiness settings, finance, marketing, healthcare
Industry UsageInformation management, knowledge organization, information systemsData interpretation, reporting, data visualization

While both roles involve working with data and information, Information Science focuses on managing, organizing, and retrieving information systems, often in research or library contexts. Data Analysts primarily analyze data to generate insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What jobs can I do with information science?

With a degree in information science, you can pursue roles such as data analyst, data scientist, information systems manager, database administrator, or user experience designer. These jobs often require skills in data management, programming, and understanding of information systems, and may involve working with tools like SQL, Python, or data visualization software.

What are some common challenges faced by information science professionals when working with large datasets, and how are these typically addressed?

Information Science professionals often encounter challenges such as data quality issues, integrating data from diverse sources, and ensuring data security when working with large datasets. Addressing these challenges typically involves using advanced data cleaning techniques, employing robust data integration tools, and collaborating closely with IT and security teams to implement strong data governance policies. Continuous learning about new data management technologies and best practices is also essential to stay effective in this dynamic field.

What are the qualifications to get an information science job?

The qualifications for a career in information science (IS) include a bachelor’s degree in information systems, although librarians typically need an advanced degree. Most employers looking for librarians prefer several years of industry experience. Many of them also require passage of the PRAXIS II Library Media Specialist test or certification. Excellent organizational and technical skills are essential for either career path, and you must stay current with the technology. Interpersonal skills are also helpful, whether for dealing with the general public or other non-IT staff and colleagues.

What is information science?

Information science is an interdisciplinary field that focuses on the collection, organization, storage, retrieval, and analysis of information. It combines aspects of computer science, library science, cognitive science, and social sciences to understand how people interact with information and technology. Information scientists often design systems and processes to manage data effectively, improve information accessibility, and support decision-making in various settings such as libraries, businesses, and research institutions.
What are the most commonly searched types of Information Science jobs in Seattle, WA? The most popular types of Information Science jobs in Seattle, WA are:
What are popular job titles related to Information Science jobs in Seattle, WA? For Information Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Information Science jobs in Seattle, WA look for? The top searched job categories for Information Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Information Science jobs? Cities near Seattle, WA with the most Information Science job openings:
Infographic showing various Information Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $101,145 per year, or $48.6 per hour.

$75K/yr

Full-time

Posted 3 days ago

New


Job description

This position is located in the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Coast Survey (OCS), with one vacancy in Silver Spring, MD; Durham, NH; Norfolk, VA; or Seattle, WA.
This position is also announced under vacancy number NOS OCS-26-13028933-DE, which is open to all US Citizens or Nationals. You must apply to both announcements if you want to be considered for both.Qualifications:

Qualification requirements in the vacancy announcements are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal qualification standards. This handbook is available on the Office of Personnel Management's website located at: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/
EDUCATION: There is no positive education requirement for this position.
SPECIALIZED EXPERIENCE: Applicants must possess one year of specialized experience equivalent in difficulty and responsibility to the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills and abilities to successfully perform the duties of the position. This experience need not have been in the federal government.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations e.g., professional; philanthropic, religious; spiritual; community, student, social). Volunteer work helps build critical competencies; knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
To qualify for the 2210 series:
IT COMPETENCIES: For all positions individuals qualifying based on experience must also have IT-related experience demonstrating each of the four competencies listed below. The employing agency is responsible for identifying the specific level of proficiency required for each competency at each grade level based on the requirements of the position being filled.

  1. Attention to Detail - Is thorough when performing work and conscientious about attending to detail.
  2. Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services.
  3. Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately.
  4. Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.


AND
To qualify at the ZP-3 or GS-11 level:
SPECIALIZED EXPERIENCE:
In addition to meeting the IT Competencies above, applicants must also possess one full year (52 weeks) of specialized experience equivalent to the ZP-2 or GS-09 in the Federal service. Specialized experience MUST include of the following:

  • Participating in monitoring Information Technology (IT) data systems to ensure they are organized, secure, and accessible;
  • Assisting in developing policies or practices for quality data collection, to ensure adequacy, accuracy, and legitimacy of data; and
  • Participating in performing data collection, analysis, validation, or distribution of scientific data.

OR
SUBSTITUTION OF EDUCATION: A Ph.D. or equivalent doctoral degree in computer science, engineering, information science, information systems management, mathematics, operations research, statistics, or technology management or degree that provided a minimum of 24 semester hours in one or more of the fields identified above and required the development or adaptation of applications, systems or networks or 3 full years of progressively higher graduate education leading to a Ph.D. or equivalent doctoral degree.

Education:

College Transcript: If you are qualifying based on education, submit a copy of your college transcript that lists college courses detailing each course by the number and department (i.e., Bio 101, Math 210, etc.), name of accredited institution, course title, number of credit hours and grade earned. You must submit evidence that any education completed in a foreign institution is equivalent to U.S. education standards with your resume. You may submit an unofficial copy of the transcript at the initial phase of the application process. If course content cannot be easily identified from the title of the course as listed on your transcript, you must submit an official course description from the college/university that reflects the content at the time the course was taken.
Note: Your college transcript is used to verify successful completion of degree, or college course work. An official college transcript will be required before you can report to duty.
Education completed in colleges or universities outside the United States may be used to meet the above requirements. You must provide acceptable documentation that the foreign education is comparable to that received in an accredited educational institution in the United States. For more information on how foreign education is evaluated, visit: OPM Foreign Education Evaluation.

Employment Type: OTHER