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Data Scientist Nsf Project Jobs (NOW HIRING)

neptune technologies

Data Scientist

Duluth, GA

... projects. • Continuously develop technical skills through self-directed learning and training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Collaborates with leaders, other LOBs, and business partners on issues, projects, or activities ... Experience designing efficient data science workflows and database architecture. * Experience with ...

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Coursework, academic projects, certifications, or early professional experience involving ... Exposure to R or other data science and statistical tools * Experience with Power BI, Tableau, or ...

Meetcute

Data Scientist

Provo, UT · On-site

We run a substantial number of tests in the process of developing our project, and we want to make sure we come to the right conclusions. Data scientists are also often called upon to answer ...

Bedrock Robotics

Data Scientist

New York, NY · On-site

... project schedules of billion-dollar infrastructure projects and improving safety on job sites ... Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy ...

Neptune

Data Scientist

Duluth, GA · On-site

... projects. • Continuously develop technical skills through self-directed learning and training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles ...

Brillient

Data Scientist

Silver Spring, MD · On-site

Brillient has an immediate need for a Data Scientist to our government client's data science workstream including data aggregation and analytic projects to support both regulatory review and ...

Algomine

NY · On-site

$80 - $120/hr

Independent work on analytical and consulting projects * Close collaboration with the client ... Min. 2 years of experience as a Data Scientist / implementing commercial analytical projects ...

Northeastern University

Data Scientist

Portland, ME · On-site

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. • 0-2 years of industry, research, or applied project experience in data science or ...

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Northeastern University

Data Scientist

Portland, ME · On-site

... research, or applied project experience in data science or machine learning. • Solid ... understanding of statistical methods, regression, hypothesis testing, and basic experimental design ...

Elder Research

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

As a Data Scientist , you will work directly with clients, managers, and technical staff to ... Number of days at client site vary depending on project requirements. Desired Skills * Advanced ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Data Scientists supporting these efforts work at the intersection of data science, applied research ... Experience contributing to shared project/product repositories in collaborative development ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Ability to interpret customer requests and/or problem statements into clear project plans, develop ...

VTG

Data Scientist

Chantilly, VA

$165K - $210K/yr

Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Ability to interpret customer requests and/or problem statements into clear project plans, develop ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

Responsibilities : • A Data Scientist represents an effective arbiter of strong technical ... Preferred : • Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project ...

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All JobsData Scientist Nsf Project Jobs

Data Scientist Nsf Project information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist nsf project jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data scientist nsf project 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 is a data scientist NSF project?

Data Scientist NSF projects involve using data science skills to work on research initiatives funded by the National Science Foundation (NSF). These projects often require analyzing large datasets, developing models, and generating insights to solve scientific or societal problems. Data scientists collaborate with researchers from various fields, contribute to grant proposals, and help publish findings. The work can span diverse domains such as environmental science, social science, engineering, and more. Being part of an NSF project provides valuable experience in cutting-edge research and interdisciplinary teamwork.

What does a data scientist do on an NSF project?

As a Data Scientist on an NSF project, you’ll often work closely with researchers from diverse fields such as biology, engineering, or social sciences. Your role involves translating complex data into actionable insights, building analytical models, and ensuring data integrity. Regular collaboration is key—you’ll participate in team meetings, present findings, and help bridge technical gaps between disciplines. This collaborative environment fosters both professional growth and a deeper understanding of how data science impacts scientific discovery.

What skills and qualifications are needed to thrive as a data scientist on an NSF project?

To thrive as a Data Scientist on an NSF Project, you need expertise in statistical analysis, machine learning, and data manipulation, typically supported by an advanced degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools, and experience with research data management systems or platforms such as Jupyter Notebook are essential. Strong problem-solving, collaboration, and communication skills help you translate complex data insights for multidisciplinary research teams. These skills ensure rigorous, reproducible research and effective contribution to innovative, grant-funded scientific projects.

What is the difference between Data Scientist Nsf Project vs Data Analyst?

AspectData Scientist Nsf ProjectData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some experience with NSF projectsBachelor's in Statistics, Mathematics, or related fields; often less specialized
Work EnvironmentResearch-focused, often in academic or government labs, with emphasis on NSF-funded projectsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsagePrimarily in research institutions, government agencies, and NSF-funded projectsIn various industries like finance, healthcare, marketing, and technology
Common Search & ComparisonOften compared for roles involving research, data modeling, and NSF project experience

In summary, a Data Scientist Nsf Project typically focuses on research, advanced modeling, and NSF-funded initiatives, requiring specialized education and experience. A Data Analyst generally handles data interpretation and reporting in business environments, with less emphasis on research-specific skills.

More about Data Scientist Nsf Project jobs

What cities are hiring for Data Scientist Nsf Project jobs?

Cities with the most Data Scientist Nsf Project job openings:

What job categories do people searching Data Scientist Nsf Project jobs look for?

The top searched job categories for Data Scientist Nsf Project jobs are:

Data Scientist Nsf Project jobs near you
Infographic showing various Data Scientist Nsf Project 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

neptune technologies

Duluth, GA

Full-time

Re-posted 4 days ago

Job description

Position Summary

As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform. This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production. You will work closely with senior data scientists, software engineers, and Product Management to translate business requirements into actionable insights and ML capabilities. This role offers the opportunity to grow your skills in production ML, cloud technologies, and contribute directly to water conservation and utility operational improvements.

Responsibilities
• Collaborate with team members to develop and deploy machine learning models and data science solutions.
• Work with Product Management to understand requirements and translate them into analytical approaches.
• Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
• Analyze large-scale time-series data from IoT devices and water utility operations.
• Develop data processing workflows using Python, SQL, and distributed computing frameworks.
• Conduct exploratory data analysis to identify patterns, trends, and insights in utility data.
• Perform feature engineering and model experimentation to improve predictive performance.
• Create data visualizations and reports to communicate findings to stakeholders.
• Implement data quality checks and validation procedures for analytical pipelines.
• Collaborate with software engineers to integrate ML models into Neptune 360 platform.
• Monitor model performance and contribute to maintenance of production ML systems.
• Document analytical methodologies, code, and model implementations.
• Participate in code reviews and follow data science best practices.
• Work with cloud-based data infrastructure and ML tools (AWS preferred).
• Stay current with developments in machine learning and data science techniques.
• Participate in sprint planning and demonstrate completed work at the end of every iteration.
• Support senior data scientists with complex analytical projects.
• Continuously develop technical skills through self-directed learning and training.

Experience

• 3+ years of experience in data science, machine learning, or related analytical roles.
• 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
• Strong experience with SQL and relational databases.
• Experience building and evaluating machine learning models.
• Understanding of statistical analysis and experimental design principles.
• Experience with data visualization tools and techniques.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with version control systems (Git).
• Understanding of software development best practices.
• Ability to work in Agile/iterative development environments.
• Strong problem-solving skills and attention to detail.
• Ability to communicate technical concepts clearly to both technical and non-technical
audiences.
• Demonstrated ability to learn new technologies and tools quickly.
• Continued professional development through courses, certifications, or projects.
• Preferred: Experience with PySpark or distributed computing frameworks.
• Preferred: Experience with time-series analysis and forecasting.
• Preferred: Experience with AWS services (SageMaker, Lambda, S3, Redshift).
• Preferred: Experience with deep learning frameworks (TensorFlow, PyTorch).
• Preferred: Experience deploying models to production environments.
• Preferred: Experience with IoT data or utility operations.

Education
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or
related quantitative field, or combination of education and equivalent experience.

Location: Duluth, GA

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