Water Resources Data Scientist information
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$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
How much do water resources data scientist jobs pay per year?
As of Sep 12, 2026, the average yearly pay for water resources 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.
A Water Resources Data Scientist analyzes large sets of data related to water systems, such as rivers, lakes, groundwater, and urban water supply networks. They use statistical methods, machine learning, and modeling to interpret data on water quality, quantity, and usage trends. Their work helps inform decision-making for water resource management, environmental protection, and policy development. They often collaborate with hydrologists, engineers, and government agencies to develop solutions for sustainable water use and to mitigate the impacts of climate change or pollution.
To thrive as a Water Resources Data Scientist, you need a strong background in environmental science, hydrology, and data analysis, often supported by a degree in a related field and experience with statistical modeling. Familiarity with programming languages such as Python or R, GIS software, and data visualization tools is typically required, along with knowledge of relevant certifications like Certified Hydrologic Data Manager (CHDM). Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for accurately analyzing complex water data, informing resource management decisions, and clearly conveying technical findings to stakeholders.
Water Resources Data Scientists often encounter challenges related to the quality and completeness of hydrological datasets, such as missing data, inconsistent measurement intervals, or sensor errors. Additionally, integrating data from multiple sources—like remote sensing, ground stations, and historical records—can require advanced data cleaning and harmonization techniques. Collaborating with hydrologists and engineers is essential to ensure accurate interpretation and to tailor models for real-world water management needs. Staying updated with evolving modeling tools and regulatory requirements is another important aspect of the role.
What are popular job titles related to Water Resources Data Scientist jobs?
For Water Resources Data Scientist jobs, the most frequently searched job titles are:
