ZipRecruiter

Log In

1

Water Management Data Scientist Jobs (NOW HIRING)

AI Squared

Data Scientist

Washington, DC · On-site

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

Lynker Corporation

Environmental Data Scientist

Boulder, CO · On-site

$75K - $105K/yr

... water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right ...

Lynker

Environmental Data Scientist

Boulder, CO · On-site

... water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right ...

Lynker Corporation

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

... water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right ...

Via Logic LLC

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT. * Experience with "big data" processing and analytics (Databricks/Apache Spark or similar)

AECOM

Data Scientist

Chicago, IL · On-site

Manage, analyze, and visualize complex datasets to support transportation systems, emerging ... water, environment, energy, transportation and buildings. Our teams partner with public- and ...

AECOM

Data Scientist

Chicago, IL

Manage, analyze, and visualize complex datasets to support transportation systems, emerging ... water, environment, energy, transportation and buildings. Our teams partner with public- and ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Efficiently manage data from disparate sources, distilling into datasets prepared for data science. * Execute statistical models to support client projects. * Prepare client facing material (example:

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Efficiently manage data from disparate sources, distilling into datasets prepared for data science. * Execute statistical models to support client projects. * Prepare client facing material (example:

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... Supports designing and managing data sets to ensure efficient data flow and interoperability with ...

AECOM

Data Scientist

Chicago, IL · On-site

Manage, analyze, and visualize complex datasets to support transportation systems, emerging ... water, environment, energy, transportation and buildings. Our teams partner with public- and ...

SAIC

Data Scientist

Chantilly, VA · On-site

Responsibilities : • Supports designing and managing data sets to ensure efficient data flow and ... scientists, software developers, operators, project managers, and clients to prepare data for ...

previous page

Showing results 41-60

All JobsEnergy And Environment JobsUtility JobsWater Superintendent JobsWater Management Data Scientist Jobs

Water Management Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do water management data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for water management data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Water Management Data Scientist jobs?

For Water Management Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Water Management Data Scientist job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Washington, DC • On-site

AI Squared
See more jobs at AI Squaredexternal

Full-time

Re-posted 21 days ago

Job description

Data Scientist
Washington, DC (Hybrid)
About the Role:
We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions.
Key Responsibilities:
  • Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines.
  • Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness.
  • Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way.
  • Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions.
  • Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production.
  • Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment.
  • Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems.
  • Collaborate across teams to ensure our AI capabilities align with platform goals and business needs.

Qualifications:
  • 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production.
  • Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred.
  • Strong background in Python and ML frameworks such as PyTorch or TensorFlow.
  • Proficiency in containerization and orchestration technologies (Docker, Kubernetes).
  • Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure).
  • Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML.
  • Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams.
  • A proactive, self-starter mindset with a passion for applied research and innovation.

Apply