1

Data Scientist Nsf Project Jobs (NOW HIRING)

Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements. * Partner with cross-functional teams to ...

Join us. ATI is seeking to hire a Data Scientist to support business unit-wide data analytics ... Build models and optimization tools to support large scale projects that utilize online, offline ...

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 ...

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 ...

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 ...

... 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 ...

... projects. As a fast-growing startup, we are seeking a skilled Data Scientist to help develop data ... driven solutions that have real-world impact. We are seeking a Data Scientist who thrives at the ...

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 ...

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 ...

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 ...

Join us. ATI is seeking to hire a Data Scientist to support business unit-wide data analytics ... Build models and optimization tools to support large scale projects that utilize online, offline ...

... 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 ...

Data Scientist

San Francisco, CA · On-site

$171K - $230K/yr

Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime ...

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 ...

Prioritize business initiatives and structure projects for optimal success, considering budget, staffing, and regulatory requirements. * Communicate data science outputs effectively and support the ...

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 ...

Data Scientist

San Francisco, CA · On-site +1

$171K - $230K/yr

Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime ...

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 ...

next page

Showing results 1-20

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 Jun 13, 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 are Data Scientist NSF projects?

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 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.

What are the key skills and qualifications needed to thrive as a Data Scientist on an NSF Project, and why are they important?

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.

How does a Data Scientist contribute to interdisciplinary collaboration 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.
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:
Data Scientist

Data Scientist

PotomacWave

Washington, DC • On-site

Full-time

Posted yesterday


Job description

PotomacWave is looking for a Data Scientist to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the mission, with a particular focus on improving data comprehension and driving data-driven decision-making processes.
Responsibilities:
  • Lead efforts to process large structured and unstructured datasets, developing and operationalizing data models, advanced analytic tools, and applications that optimize decision-making and enhance analytic throughput.
  • Design and implement advanced data collection, mining, clustering analysis, pattern recognition, and trends analysis techniques to develop actionable intelligence and inform strategic decisions.
  • Collaborate closely with analysts to build robust prototypes, prove complex concepts, and facilitate the widespread adoption of cutting-edge data science technologies and methodologies within the office.
  • Champion enterprise innovation, significantly increasing data awareness, and demonstrate the transformative value of advanced analytics and data visualization.
  • Stay abreast of bleeding-edge technology standards, industry trends, emerging technologies, and software development best practices, incorporating them into actionable strategies.
  • Architect and leverage advanced technologies including Python, R, AWS, Java, SQL, Tableau, D3JS, and Spark to analyze high volumes of data, reveal hidden patterns, and create compelling data narratives.
  • Lead the design and build of complex algorithms and machine learning models throughout the entire development lifecycle, ensuring scalability and operational effectiveness.
  • Evaluate and recommend advanced training opportunities, fostering a culture of continuous learning and skill development within the team.
  • Develop and codify structured processes for data-driven decision-making, leading initiatives to improve readership, feedback mechanisms, and overall analytic throughput.
  • Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements.
  • Partner with cross-functional teams to meticulously document complex requirements, strategically leverage existing capabilities, and deliver high-impact products to customers.
  • Combine rigorous scientific method, advanced mathematics, statistics, specialized programming, and compelling storytelling to uncover deeply actionable insights and communicate them effectively.
  • Review mission needs, leading the evaluation of policy and program effectiveness through a data-centric lens.
  • Lead participation in enterprise-wide data science projects involving highly innovative approaches where precedents may not exist, setting new standards for the organization.
Qualifications:
  • A bachelor’s degree in the following is required: data science, computer science, information science, mathematics, or statistics. A master’s degree is preferred.
  • A professional certification in data science is required.
  • A minimum of four (4) years of experience in a data science related field.
  • The selection of an individual for this position may be conditioned upon their successful completion of a counterintelligence-scope polygraph examination.
  • Must be a U.S. Citizen and have an active DOE Q or Top-Secret clearance.

Salary range $125,000 - $155,000
 

Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.

Powered by JazzHR

SySDcwP3mc