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Data Scientist Nsf Project Jobs (NOW HIRING)

SUMMARY The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor ...

New

Data Scientist

Aberdeen, MD · On-site

$165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Scientist will lead projects focused on the modeling and simulation of smoke and obscurant materials and systems and their impact on sensor systems, both threat and friendly. Use artificial ...

New

As a part of the Data Science team you'll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly ...

TS/SCI with Poly Required Data Scientist I * 1-4 years of experience supporting data analysis or analytics projects * Familiarity with Python, R, SQL, or similar analytical tools * Familiarity with ...

Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results. * Customer-Focused Approach: Deliver clear ...

The Data Scientist will design, prototype, and implement a data management and application ... Experience leading teams and projects * Programming experience in C++ and Java * Experience with ...

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... Projects and long-term strategy development should alwaysfocus on business impact and have ...

Data Scientist

Mclean, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TRSS Data Scientists build and deliver ML/AIenabled capabilities for mission and operational ... Experience contributing to shared project/product repositories in collaborative development ...

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... Projects and long-term strategy development should always focus on business impact and have ...

... 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

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 ...

New

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 ...

Showing results 21-40

Data Scientist Nsf Project information

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$37.5K

$122.7K

$196.5K

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

As of Aug 16, 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 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 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 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.
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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

Posted yesterday

New


Job description

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:

  • Data Scientist

Description:

SUMMARY
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.
FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
EDUCATION

  • Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR


COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.
Excited to build something meaningful together? We look forward to hearing from you.
Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.