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Hydrology Data Scientist Jobs (NOW HIRING)

In this hybrid role you will report to the Data Science Lead for Driving Quality & Scope Expansion ... PhD in a quantitative, weather-adjacent field (Atmospheric Science, Meteorology, Hydrology, etc ...

Environmental Scientist

Honolulu, HI · On-site

$74K - $97K/yr

Install and maintain monitoring stations for hydrologic, hydraulic, and water quality data ... Bachelor's degree in Environmental Science, Chemistry, Hydrology, Water Resources, Engineering, or ...

Environmental Scientist

Honolulu, HI · On-site

$74K - $97K/yr

Install and maintain monitoring stations for hydrologic, hydraulic, and water quality data ... Bachelor's degree in Environmental Science, Chemistry, Hydrology, Water Resources, Engineering, or ...

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Hydrology Data Scientist information

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$46K

$165K

$243.5K

How much do hydrology data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for hydrology data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a hydrology data scientist?

Hydrology Data Scientists are professionals who analyze and interpret large datasets related to water resources, such as rainfall, river flows, groundwater levels, and water quality. They use statistical methods, machine learning, and data modeling to solve complex problems in hydrology, including flood forecasting, drought prediction, and water resource management. Their work supports environmental protection, sustainable development, and disaster preparedness by providing insights into hydrological patterns and trends.

What are the key skills and qualifications needed to thrive as a hydrology data scientist?

To thrive as a Hydrology Data Scientist, you need strong analytical skills in hydrology, statistics, and data modeling, typically supported by a degree in hydrology, environmental science, or a related field. Proficiency with programming languages like Python or R, experience with GIS software, and familiarity with remote sensing tools or hydrological modeling systems are commonly required. Exceptional problem-solving, collaboration, and communication skills help you interpret data and present actionable insights to both technical and non-technical stakeholders. These skills ensure accurate analysis of complex water systems, support informed decision-making, and contribute to effective water resource management.

What are the typical data sources and technologies a hydrology data scientist works with?

As a Hydrology Data Scientist, you'll commonly work with data from remote sensing satellites, ground-based sensors, weather stations, and historical hydrological records. Technologies such as Python, R, GIS software, and cloud-based data platforms are frequently used to process and analyze large datasets. Your daily responsibilities often include cleaning and integrating diverse data sources, developing predictive models for water flow or quality, and visualizing results for stakeholders. Mastery of these tools and data types not only streamlines your workflow but also enhances collaboration with hydrologists, engineers, and policy makers.

What is the difference between Hydrology Data Scientist vs Hydrologist?

AspectHydrology Data ScientistHydrologist
Required CredentialsDegree in Data Science, Hydrology, or related field; proficiency in data analysis and modelingDegree in Hydrology, Environmental Science, or Geosciences; focus on fieldwork and hydrological analysis
Work EnvironmentPrimarily office-based, working with large datasets and modeling softwareFieldwork and office work, collecting and analyzing water data
Employer & IndustryResearch institutions, government agencies, environmental firmsGovernment agencies, environmental consulting, research organizations

The main difference is that Hydrology Data Scientists focus on analyzing water data using advanced data techniques, while Hydrologists often conduct fieldwork and hydrological assessments. Both roles require a strong understanding of water systems, but their daily tasks and skill sets differ significantly.

More about Hydrology Data Scientist jobs

What cities are hiring for Hydrology Data Scientist jobs?

Cities with the most Hydrology Data Scientist job openings:

What states have the most Hydrology Data Scientist jobs?

States with the most job openings for Hydrology Data Scientist jobs include:

Infographic showing various Hydrology Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Research Scientist in Hydrologic Modeling

University of Texas at Dallas

Richardson, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

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Job description

Posting Details
Posting Number S05221P Position Title Research Scientist in Hydrologic Modeling Functional Title Research Scientist Department NSM Deans Office Salary Range Commensurate with experience Pay Basis Monthly Position Status Regular full-time Location Richardson Position End Date (if temporary) Posting Open Date 10/20/2023 Posting Close Date Open Until Filled Yes Desired Start Date Job Summary
Position will enhance capabilities at University of Texas at Dallas and link to a successful interdisciplinary research Team. These individuals would work with a vibrant team of faculty, postdocs and graduate students to conduct integrated hydrologic modeling efforts investigating climate, land use, and water resources at large basin scales. This team seeks to develop and improve models to predict the effects of changes in land use and climate on hydrology, and to apply models to better understand how to improve sustainability of land use practices and adapt to future changes. Our highly interdisciplinary research is conducted in collaboration with researchers at multiple universities nationwide.
Possible projects include:
Understanding the hydrologic footprint of irrigated agricultural practices across the US, using model / data synthesis to understand paths toward sustainability.
Fusing integrated hydrologic models with remote sensing estimates of water storage to develop nowcast and reanalysis of groundwater levels and streamflow across the Great Lakes Region.
Quantifying the combined effects of changes in land use and climate on hydrology across a region experiencing rapid urbanization.
Developing hydrology, energy, agriculture, and ecosystem models to better understand the footprint of solar arrays, which are being rapidly installed in agricultural lands.
Minimum Education and Experience
- Master's degree in field directly related to research - Two (2) years of experience/expertise performing research relating to a specified field of study - Or equivalent combination of relevant education and experience totaling at least eight years.
Preferred Education and Experience
Ph.D degree in field directly related to research
Programming and hydrologic modeling experience, plus a strong publication record.
Familiarity with groundwater modeling, data science, and spatial data analysis are desired.
Essential Duties and Responsibilities
We are seeking postdoctoral scientists to conduct integrated surface and groundwater modeling at regional scales at the University of Texas at Dallas. Through this hire, Dr. David Hyndman seeks to create a core of scientific and modeling expertise, leading and enhancing the work of a vibrant team of graduate and undergraduate students. We have several collaborative research projects with researchers at multiple universities; projects include:
Applicants must have expertise in programming (such as Python, MATLAB, R, or FORTRAN), and a strong publication record. Prior hydrologic modeling experience is also required. Familiarity with groundwater modeling, data science, and spatial data analysis are desired.
The initial position isfor one year (renewable based on performance). We are hiring at the Research Scientist level, however exceptional candidates with a strong record of successful grants may be hired as a Research Assistant Professor (see separate posting at jobs.utdallas.edu). These positions require writing peer-reviewed publications and research proposals to extend their position and help grow this interdisciplinary research team.
Physical Activities Working Conditions Additional Information
ELEVATE YOUR CAREER!  APPLY TODAY TO BE A PART OF A GREAT TEAM!
What We Can Offer
UT Dallas is an Equal Opportunity Employer. We offer an employee-friendly work environment with a comprehensive benefit package including:
  •  Competitive Salary
  •  Tuition Benefits
  •  Internal Training
  •  Medical insurance - including 100% paid employee medical coverage for full-time employees
  •  Dental Insurance
  •  Vision Insurance
  •  Long and short-term disability
  •  Retirement Plan Options
  •  Paid time off
 Paid Holidays All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program.
Visit https://hr.utdallas.edu/employees/benefits/ for more information.
A remote work schedule is not available for this position.
Special Instructions Summary
To apply please submit an application letter detailing research interest and experiences, a current CV and names of 3 references with telephone numbers and emails addresses.
Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

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