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Data Science Jobs in Pullman, WA (NOW HIRING)

University of Idaho

Postdoctoral Fellow

Moscow, ID · On-site

$60K/yr

Posting Number SP005141P Position Title Postdoctoral Fellow Division/College College of Science ... Experience generating binary black hole initial data (conformally flat/curved) on curvilinear ...

University of Idaho Job

Postdoctoral Fellow

Moscow, ID · On-site

$60K/yr

Posting Number SP005141P Position Title Postdoctoral Fellow Division/College College of Science ... Experience generating binary black hole initial data (conformally flat/curved) on curvilinear ...

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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 Aug 21, 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.

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 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 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 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.

Is a data scientist in high demand?

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 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.
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 job categories do people searching Data Science jobs in Pullman, WA look for?

The top searched job categories for Data Science jobs in Pullman, WA 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
Infographic showing various Data Science job openings in Pullman, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,920 per year, or $57.7 per hour.

Postdoctoral Fellow, NSF EPSCoR

University of Idaho

Moscow, ID • On-site

$60K/yr

Full-time

Re-posted 7 days ago

University Of Idaho rating

7.3

Company rating: 7.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

363rd of 620 rated colleges and universities

Job description

Position Details
Position Information
Internal Posting?
Posting Number
SP005318P
Position Title
Postdoctoral Fellow, NSF EPSCoR
Division/College
College of Agricultural & Life Sciences
Department
IWRRI
Location
Boise
Posting Context Statement
Position Overview
We are seeking a postdoctoral scholar to contribute to a sub-project of the NSF EPSCoR project - Idaho Community-Engaged Resilience for Energy-Water Systems (I-CREWS), which seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience under meteorological, population, and technological change. The postdoc will lead data analysis and modeling on the sub-project titled "Coupled Water and Energy Consequences of Agricultural-to-Urban Transitions in the Treasure Valley".
The postdoc will combine ground-based measurements of evapotranspiration (ET) in turfgrass and satellite-based consumptive use (CU) modeling to compare outdoor water use and associated energy demand across agricultural and urban land uses. The team will (1) develop and validate locally relevant methods to estimate consumptive use across mixed urban-agricultural landscapes, (2) estimate the energy required for water system operations under different land-use and infrastructure configurations, and (3) co-produce case studies with local partners to inform alternative futures modeling and resilience planning for the Treasure Valley.
Unit URL
https://iwrri.uidaho.edu/
Position Qualifications
Required Experience
  • Experience working with quantitative analysis, modeling, or data-driven methods related to energy-water systems
  • Experience collaborating with multidisciplinary teams, community partners, or stakeholder groups
  • Experience presenting or documenting research methods, findings, or technical information
  • Experience working with environmental or geospatial datasets, including remote sensing, flux tower or micrometeorological data, weather or climate data, or hydrologic observations
  • Experience conducting quantitative data analysis related to hydrologic systems, including statistics, time-series analysis, geospatial analysis, or model calibration and validation
  • Experience using scientific programming or data-analysis languages such as Python, R, or MATLAB to process environmental datasets and implement models
  • Evidence of scholarly activity through peer-reviewed publications, conference presentations, or equivalent research outputs

Required Education
  • PhD in hydrology, civil or environmental engineering, water resources, geography, environmental science, agricultural engineering, remote sensing, or a closely related field, completed by the start date.

Required Other
  • None

Additional Preferred
  • None

Physical Requirements & Working Conditions
  • None

Degree Requirement
Listed degree qualification is required at time of hire
Posting Information
FLSA Status
Exempt
Employee Category
Exempt
Pay Range
$60,000 annually or higher depending on experience
Type of Appointment
Fiscal Year
FTE
1
Full Time/Part Time
Full Time
Funding
This position is contingent upon the continuation of work and/or funding.
A visa sponsorship is available for the position listed in this vacancy.
Uncertain
Posting Date
06/15/2026
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants
Applications received by July 10, 2026, will receive first consideration.
Applicant Resources
https://www.uidaho.edu/human-resources/careers/applicant-resources
Background Check Statement
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.

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