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Data Science Jobs in Pullman, WA (NOW HIRING)

Lewis-Clark State College

Data Analyst

Lewiston, ID

$49K - $60K/yr

Relevant disciplines may include social science, data science, statistics, computer science, information systems, mathematics, business analytics, or related field. Required Qualifications:

Lewis-Clark State College

Data Analyst

Lewiston, ID · On-site

$49K - $60K/yr

Relevant disciplines may include social science, data science, statistics, computer science, information systems, mathematics, business analytics, or related field. Required Qualifications:

FocusKPI

Marketing Operations Analyst

Moscow, ID · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

University of Idaho

Postdoctoral Fellow

Moscow, ID · On-site

$42K - $57K/yr

PhD in environmental science, hydrology, civil or environmental engineering, geography, computational social science, or a related field with a focus on quantitative modeling and/or data science at ...

University of Idaho Job

Postdoctoral Fellow

Moscow, ID

$42K - $57K/yr

PhD in environmental science, hydrology, civil or environmental engineering, geography, computational social science, or a related field with a focus on quantitative modeling and/or data science at ...

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All JobsData Science JobsData Science Jobs in Pullman, WA

Data Science information

See Pullman, WA salary details

$36.6K

$119.9K

$192K

How much do data science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data science in Pullman, WA is $119,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,900.00 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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Pullman, WA? The most popular types of Data Science jobs in Pullman, WA are:
What are popular job titles related to Data Science jobs in Pullman, WA? For Data Science jobs in Pullman, WA, the most frequently searched job titles are:
What cities near Pullman, WA are hiring for Data Science jobs? Cities near Pullman, WA with the most Data Science job openings:
Data Science jobs near you
Data Analyst

Data Analyst

Lewis-Clark State College

Lewiston, ID

$49K - $60K/yr

Full-time

Re-posted 10 days ago

Job description

LC State invites applications for the position of Data Analyst. This position is located in Lewiston, Idaho. Remote work is not available.

Salary and rank based on experience and qualifications: $49,754 - $60,000

Degree Required: Bachelor's degree in a relevant discipline from an accredited institution. Relevant disciplines may include social science, data science, statistics, computer science, information systems, mathematics, business analytics, or related field.

Required Qualifications:

  • Demonstrated willingness and ability to learn technical skills through training and mentorship.
  • One (1) to three (3) years of related experience and/or training; or equivalent combination of education and experience. Specifically, experience with:
    1. SQL querying and database management
    2. Operational reporting - creating reports that support business functions and decision-making
    3. Data visualization tools, particularly Power BI or Tableau - creating dashboards and visual reports
    4. Advanced Excel software skill
    5. Data validation and quality control
    6. Working as part of a collaborative team

Preferred Qualifications:

  • Master's degree from an accredited institution in social science, data science, statistics, information systems, institutional research, education, computer science, or related field
  • Experience with or strong interest in any or all of the following:
    1. Programming or scripting languages, particularly for automation and data workflows - ability to automate repetitive tasks and streamline data processes
    2. Student information systems (Banner, Colleague, PeopleSoft) or other ERP systems
    3. Data governance - understanding of data management principles, data quality frameworks, and data stewardship
    4. Predictive modeling - interest or experience in statistical modeling, forecasting, or machine learning applications
    5. Higher education data - familiarity with higher education metrics, terminology, or data structures
    6. Statistical software (SPSS, SAS, R)
    7. Survey tools (Qualtrics or similar)
    8. IPEDS or other higher education reporting
    9. Understanding of FERPA and data privacy
    10. Advanced SQL techniques (CTEs, window functions, query optimization)
    11. ETL processes and data integration

Responsibilities:

  1. Write and optimize SQL queries to extract, validate, and report institutional data from databases; manage data quality and database integrity.
  2. Develop operational reports and dashboards to support daily institutional functions, decision-making, and strategic planning across departments.
  3. Create interactive data visualizations and dashboards using Power BI or Tableau to communicate findings effectively to diverse stakeholders.
  4. Curate institutional datasets by performing data quality checks, data cleansing, and validation; document data sources and processes.
  5. Extract and integrate data from multiple sources including student information systems, financial systems, and HR databases.
  6. Assist in creating automated reporting processes and data workflows; document queries and procedures for consistency and continuity.
  7. Conduct data analyses using SQL and statistical methods; implement validation routines to ensure accuracy.
  8. Prepare federal and state compliance reports including IPEDS with support and mentorship from team members experienced in regulatory reporting.
  9. Coordinate data requests from internal users; translate information needs into technical solutions including queries, reports, and visualizations.
  10. Collaborate with team members on survey design and administration using Qualtrics; analyze and report on survey response data.
  11. Test and validate data for accuracy; identify and resolve data quality issues.
  12. Collaborate with IT staff to maintain data security and integrity per FERPA requirements.
  13. Learn and apply research methods and institutional research best practices through training and mentorship from experienced team members.
  14. Stay current on data analysis tools, SQL, data visualization platforms, and emerging technologies through training and professional development.
  15. Manage multiple projects with competing priorities while maintaining attention to detail and documentation standards.
  16. Other duties as assigned, including enrollment support and recruitment/retention activities.

Application Procedure: Please upload all of the following documents or your application may not be considered for review.

  • Cover Letter/Letter of Interest
  • Resume/Curriculum Vitae
  • Contact Information or Letter for three (3) Professional References
  • Unofficial Transcripts (Official Transcripts requested upon hire)

This position is open until filled. Posting will remain open until a suitable pool of candidates is identified.

This position is subject to the successful completion of a criminal background check and may also be subject to an education verification. LC State is an EEO/VETS employer.

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