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Data Science Jobs in Spokane, WA (NOW HIRING)

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Data Engineer

Spokane, WA

$115K - $139K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Spokane, WA · On-site

$115K - $139K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bachelor's (BA or BS) in computer science, or related field. * 2+ years in a full stack development role * 4+ years of experience working in a data engineer role, or related position. * 2+ years of ...

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AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

Bachelor's degree in software engineering, AI, Data Science or equivalent experience. * Experience: * * Four or more years of related experience required, including 3+ years Software Engineering or ...

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

Education: Bachelor's degree in software engineering, AI, Data Science or equivalent experience. * Experience: * Four or more years of related experience required, including 3+ years Software ...

Showing results 21-40

Data Science information

See Spokane, WA salary details

$37.9K

$124.1K

$198.7K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in Spokane, WA is $124,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $137,500.00 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 Spokane, WA? The most popular types of Data Science jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Data Science jobs? Cities near Spokane, WA with the most Data Science job openings:
Infographic showing various Data Science job openings in Spokane, WA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution, with an average salary of $124,103 per year, or $59.7 per hour.

Computer Scientist

U.S. Department of Defense (DOD)

Fairchild Air Force Base, WA • On-site

$76K/yr

Part-time

Re-posted 19 days ago


U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense


Job description

Click on "Learn more about this agency" button below for IMPORTANT additional information.
This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection.Qualifications:BASIC REQUIREMENTS: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
In addition to the basic requirements above, all applicants must meet the qualification requirements below:
SPECIALIZED EXPERIENCE:
GS-12: One year of specialized experience equivalent to the GS-11 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems, real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation. Serve as assistants to higher grade level scientists responsible for subject-matter or program areas.
GS-13: One year of specialized experience equivalent to the GS-12 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems, real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation. Serving as staff specialist for a significant segment of a subject-matter or program area. Providing technical guidance in planning, coordinating, and evaluating proposed research projects and programs of interest to the agency.
GS-14: One year of specialized experience equivalent to the GS-13 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems; real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation and developing and applying system evaluation methods and techniques to major portions of large projects of studies. Serves as staff specialist responsible for providing technical leadership and guidance in a major subject-matter, functional, or program area.
GS-15: One year of specialized experience equivalent to the GS-14 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems; real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation and developing and applying system evaluation methods and techniques to major portions of large projects of studies. Serves as staff experts and consultants.
Click on the following link to view occupational requirements for this position: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
1. Knowledge of computer science concepts and principles of standard computer science practices, methods, and techniques to perform, following specific instructions, routine projects or minor phases of a larger or more complex project.
2. Knowledge of computer design, simulation or programming software or other appropriate software to perform routine design and analysis assignments.
3. Knowledge of computer science and related disciplines to design, develop and adapt scientific methods and techniques to recommend solutions for computer problems.
4. Ability to analyze, interpret and apply computer science procedures in a variety of situations and recommend effective solutions.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER

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