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Supervisory Data Analytics Officer

National Science Foundation
U.S. National Science Foundation

Summary

The U.S. National Science Foundation (NSF) is seeking qualified candidates for Supervisory Data Analytics Officer positions. These positions may be established within any NSF Directorate/Office.

For more information, visit http://www.nsf.gov/.

Overview

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Accepting applications
Open & closing dates
05/04/2026 to 05/11/2026
This job will close when we have received 150 applications which may be sooner than the closing date. Learn more
Salary
$202,543 - $209,600 per year
Pay scale & grade
AD 5
Location
Few vacancies in the following location:
Alexandria, VA
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - You may be expected to travel for this position.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Excepted
Promotion potential
5
Job family (Series)
Supervisory status
Yes
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Financial disclosure
Yes
Bargaining unit status
No
Announcement number
NSF-26-12938437
Control number
867696700

This job is open to

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Clarification from the agency

This vacancy is open to the public. Applications will be accepted from all U.S. citizens who meet citizenship and eligibility requirements. This announcement will close at 11:59 PM ET on the listed closing date, or once 150 applications have been received, whichever occurs first.

Duties

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The Supervisory Data Analytics Officer serves as a senior analytics advisor to the Directorate/Office Head, Assistant Director, Deputy Directorate/Office Head, and/or other senior organizational leadership, providing policy, scientific, and administrative expertise in assessing and addressing major collaborative initiatives and issues involving the Foundation's support of research, engineering, STEM education, research infrastructure, innovation, and other priority areas. The incumbent is expected to represent their Directorate/Office in policies and coordination activities. The incumbent coordinates on budget, planning matters, special studies, and reports.

Major Duties and Responsibilities

  • Serves as a senior analytics advisor to Directorate/Office leadership, delivering data-driven insights to shape scientific priorities, program strategy, and organizational decision-making.
  • Leads the development and execution of enterprise data strategy, including governance, architecture, and analytics, to maximize the value of data assets and ensure compliance with federal data standards.
  • Applies advanced analytics (e.g., AI/ML, statistical modeling) to evaluate program performance, identify trends, and inform strategic planning and resource allocation.
  • Provides authoritative analyses to support budget formulation, long-range planning, and effective management of merit review, award, and post-award processes.
  • Represents the organization in internal and external forums, communicating analytical findings, advising on policy and program matters, and engaging with stakeholders across the scientific community.
  • Leads cross-organizational initiatives, special studies, and program reviews; collaborates with senior leadership to align data, programmatic, and operational strategies.

Requirements

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Conditions of employment

  1. You must be a U.S. citizen.
  2. Selectee will be required to have a background investigation prior to onboarding.
  3. Selectee may be required to serve a 2-year trial period.
  4. Selectee may be required to serve a 1-year supervisory probationary period.
You must meet eligibility and qualification requirements by the closing date of the announcement.

All online applicants must provide a valid email address. If your email address is inaccurate or your mailbox is full/blocked, you may not receive important communication that could affect your consideration for this position.

It is NSF policy that personnel employed at, or Intergovernmental Personnel Act (IPA) individuals detailed to, NSF are not permitted to participate in foreign talent recruitment programs. Failure to comply with this NSF policy could result in disciplinary action up to and including removal from Federal Service or termination of an IPA assignment and referral to the Office of Inspector General.

NSF has determined that all of its positions are eligible for telework. Work suitable for telework depends on job duties; therefore, employees must receive approval from their supervisor for telework and have a telework agreement in place. Entering into a telework agreement is voluntary.

Qualifications

Applicants must posses a Ph.D. or Master's degree with relevant experience; or equivalent professional experience in a field related to the NSF position requirements.

Qualifying disciplines include mathematics, statistics, computer science, data science, or closely related fields.

Highly successful candidates demonstrate a strong work ethic, initiative, and excellent interpersonal, communication, analytical, and project management skills. Additional position skills include:

  • Demonstrated ability to apply statistical methods, mathematical modeling, and data interpretation techniques to analyze complex datasets and generate actionable insights that inform strategic decision making.
  • Expertise in data analytics tools and programming languages, data visualization platforms, and database management systems.
  • Strong ability to translate complex analytical findings into clear, concise recommendations for senior leadership, while independently identifying problems, developing data-driven solutions, and supporting mission-critical objectives.
Experience must demonstrate the ability to exercise independent judgment, influence strategic outcomes, and contribute to organizational leadership at a senior level.

Appointment to this position will be made under the Excepted Authority of the NSF Act. Candidates who do not have civil service status or reinstatement eligibility will not obtain civil service status if selected. Candidates currently in the competitive service will be required to waive competitive civil service rights if selected. Usual civil service benefits (retirement, health benefits, and life insurance) are applicable.

You will need to successfully complete a background security investigation before you can be appointed to this position.

Education

Please refer to the Qualifications section.

Additional information

This announcement is open to the public.

If you do not have civil service status or reinstatement eligibility, you will not obtain civil service status if selected. If you are currently in the competitive civil service, you will be required to waive competitive civil service rights if selected.

This position is excluded from the bargaining unit.

You must answer all of the job-related questions to ensure full consideration for this position.

Only applications submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated on the extent and quality of your experience, education, and research relevant to the duties of the position. In some cases, additional assessment processes may also be used.

You are highly encouraged to specifically address the Quality Ranking Factors (QRFs) below. This will ensure that you receive full consideration in the evaluation process.

Quality Ranking Factors

1. Supervisory Leadership in Scientific or Grants Data Analytics
Demonstrated experience leading and managing teams performing data analytics in support of scientific research, grants management, or federal program operations, including setting priorities, managing performance, and developing staff.

2. Analytics Supporting Merit Review and Grants Decision-Making
Proven ability to analyze and interpret complex datasets related to proposal review, funding decisions, or research portfolios, and translate findings into actionable insights for senior leadership.

3. Advanced Analytics Applied to Research and Workforce Data
Extensive experience using advanced analytics tools and methodologies (e.g., Python, R, SQL, Tableau, Power BI) to analyze scientific, engineering, or STEM workforce data, including predictive modeling or statistical analysis.

4. Data Governance in a Federal Research Environment
Experience implementing or overseeing data governance, quality assurance, and compliance practices for research, grants, or administrative data in alignment with federal policies (e.g., data integrity, privacy, and transparency requirements).

5. Enterprise Data Strategy and Collaboration
Demonstrated experience leading or contributing to enterprise-level data initiatives (e.g., data modernization, reporting platforms, or portfolio analysis tools) and collaborating across multiple organizations to deliver data-driven solutions that support strategic priorities.

National Science Foundation

Come join our talented workforce and help us keep the U.S. National Science Foundation (NSF) at the frontier of discovery!

NSF is on the leading edge of discovery in areas from astronomy to geology to zoology and beyond. In addition to funding research in traditional academic areas, the agency also supports innovative ideas, novel collaborations and numerous projects that may seem like science fiction today, but become the reality of tomorrow.

NSF ensures that research is fully integrated with education so that today's revolutionary work will also be training future scientists and engineers. We are also at the forefront of federal business and operations best practices, ensuring accountability and efficacy of the work we do.

Become a part of our mission to maintain and strengthen the vitality of the U.S. science and engineering enterprise. For over 70 years, NSF has remained the premier Federal agency supporting basic research at the frontiers of discovery across all fields, as well as science and engineering education at all levels.

Agency contact information

Talent & Acquisition Management Branch
Email
erecruit@nsf.gov
Address
US National Science Foundation
401 Dulany Street
Alexandria, VA 22314
US

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