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Data Scientist Nsf Project Jobs (NOW HIRING)

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 ...

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 ...

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 ...

... 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 ...

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 ...

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 ...

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 ...

... 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 ...

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 ...

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

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 ...

Data Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start ... As a Lead, you will manage the day-to-day execution of data projects, provide technical oversight ...

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 ...

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

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 ...

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

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 ...

Showing results 41-60

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 20, 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:

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

CYNET SYSTEMS

San Ramon, CA • On-site

$93 - $98/hr

Contractor

Re-posted 28 days ago


Job description

Job Overview:

Pay Range: $93.14hr - $98.14hr

Requirement/Must Have:

  • 1+ years of experience in data modeling.
  • 8+ years of job-related experience, OR 6+ years with a Master's Degree, OR 3+ years with a Doctorate Degree.
  • Strong command of languages like Python, R, and SQL for data manipulation and model development.
  • Strong verbal and written communication skills.

Responsibilities:

  • Leads development of high complexity models and training sets.
  • Provides hands-on execution and implementation of data science models.
  • Translates business analysis needs into well-defined data science problems, selecting appropriate models and algorithms.
  • Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact.
  • Balances tradeoffs among analytics value, model development methods, and design and technologies used to implement data science models.
  • Performs collaborative work on data science problems and mentors junior data scientists.
  • Creates shared process models, business objects, activity diagrams, and process documentation.
  • Manages development of quantitative models and tools.
  • Collaborates with leaders, other LOBs, and business partners on issues, projects, or activities.
  • Develops new or revises complex models to predict business demand trends and various other metrics.
  • Assesses business implications associated with modeling assumptions and advanced data analysis.
  • Partners with leaders to drive high performance in their lines of business.
  • Develops and maintains up-to-date detailed project schedules and work plans.
  • Performs analysis on complex data models requiring customized reports and data.

Nice to Have:

  • PhD in engineering or a related field.
  • Experience with AWS, Azure, cloud computing technologies.
  • Experience designing efficient data science workflows and database architecture.
  • Experience with forecasting, Bayesian networks, and graph analytics.
  • Knowledge of program management theories, concepts, methods, best practices, and techniques.

Skills:

  • Strong statistics experience.
  • Competency in developing and delivering multi-mode communications.
  • Knowledge of statistical theories, concepts, methods, best practices, and analyses.

Qualification And Education:

  • Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or job-related discipline or equivalent experience.
  • Knowledge of relevant programming languages as needed to perform at the job level.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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