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Remote Data Scientist Jobs in Pullman, WA (NOW HIRING)

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Remote Data Scientist information

See Pullman, WA salary details

$36.6K

$119.9K

$192K

How much do remote data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data scientist 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 a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Pullman, WA?

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Cities near Pullman, WA with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist 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 Job

Moscow, ID • On-site, Remote

$60K/yr

Full-time

Re-posted 10 days ago

Job description

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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