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General Mathematical and Statistical Scientist

National Science Foundation
This job announcement has closed

Summary

The National Science Foundation is seeking qualified candidates for a Staff Associate for Data Analytics in the Office of the Assistant Director within the Directorate for Technology, Innovation, and Partnerships (TIP) in Alexandria, VA.

Overview

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Reviewing applications
Open & closing dates
04/25/2022 to 05/09/2022
Salary
$148,933 to - $190,947 per year
Pay scale & grade
AD 04
Location
Alexandria, VA
FEW vacancies
Telework eligible
Yes—as determined by the agency policy.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Excepted
Promotion potential
04
Supervisory status
Yes
Security clearance
Other
Drug test
No
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Trust determination process
Announcement number
TIP-2022-0003
Control number
650795500

This job is open to

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Clarification from the agency

Applications will be accepted from current NSF agency employees who meet citizenship and eligibility requirements. Please see the "Other Information" section for further information.

Duties

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For more than seven decades, the National Science Foundation has been at the forefront of the research, innovation & education that has transformed American lives, powered the economy, & elevated the nation's competitiveness on the global stage. NSF investments have given the world Doppler radar, bar codes, the modern internet, web browsers, magnetic resonance imaging, laser eye surgery, DNA analysis & synthetic biology.

But imagine what would be possible if we could speed the development & deployment of the next generation of these technological marvels with an eye toward addressing the foremost challenges that society & the economy face today.

Enter "TIP," Technology, Innovation and Partnerships — a new NSF directorate that creates breakthrough technologies; meets societal and economic needs; leads to new, high-wage jobs; and empowers all Americans to participate in the U.S. research and innovation enterprise. TIP is a unique opportunity that engages the nation's diverse talent in strengthening and scaling the use-inspired and translational research that will drive tomorrow's technologies and solutions.

The Staff Associate for Data Analytics (SADA) is responsible for establishing & managing a directorate-wide data vision, including data governance, quality, architecture, & analytics, thereby ensuring TIP maximizes the value of its data assets to fulfill the missions of the directorate.

The incumbent works closely with the TIP senior management team to address the ever-growing data resources & needs to enable TIP to harness information to improve operational efficiency & support data-driven decision making & strategy setting: 

  • Applies a deep understanding of NSF mission & grant management processes, well-rounded knowledge of NSF proposal & award data & system structure, & strong technical experience in data science, to advise TIP executive leadership on the directorate’s data &
    analytic initiatives, & to develop a TIP data & analytics vision & strategic plans.
  • Leads directorate-wide data analytics working group & develops partnerships across divisions/offices to execute the data & analytics strategic plan.
  • Fosters a culture of data-driven decision making and data sharing within the TIP directorate.
  • Serves as the TIP liaison to NSF-wide working groups such as Enterprise Architecture Working Group (EAWG).
  • Assists in the development of short & long-range strategic plans, establishing objectives for research programs & program evaluation, & providing scientific evaluation & technical advice for programs at NSF.
  • Develops & implements an effective data governance structure in TIP with a focus on strategic data asset development.
  • Develops a communication & interaction model to maintain regular engagement with TIP leadership and divisions.
  • Designs robust data architecture and leverage sound infrastructure – enabling TIP to maximize opportunities for data analytics innovations while meeting NSF data compliance mandates in privacy and security.
  • Develops a comprehensive TIP data analytic strategic plan, build capabilities to help the directorate gain insight and perspective on TIP data, and support both tactical and strategic decision-making.
  • Promotes analytic innovations through data discovery & data exploration to assist directorate and/or division to strategically advance its missions(s);
  • Represents the Directorate & NSF to the scientific community, to other NSF directorates, to other agencies/organizations, & to the public.
  • Creates & maintains linkages to other NSF units & other Federal agencies in pursuit of the overall NSF mission.
  • Participates in staff, panel, committee & other meetings, providing input relevant to Program area and/or Division.
  • Pursues affirmative action & equal-employment-opportunity (EEO) goals.
  • Pursues and/or is responsive to assignment on special projects & temporary functional teams from across NSF to solve problems, improve staff communication, & effect coordination for special program.
  • Contributes ideas and efforts to improving the quality of policies and NSF’s performance of the overall mission. Develop policies and plans for strengthening research and education programs.
  • Provides information to the community on how NSF is pursuing its mission & gathers data & impressions from the community on the effectiveness of NSF’s performance.
  • Prepares & disseminates a variety of informational documents which may include data on progress being made toward NSF’s goals, trends & opportunities papers, & budget plans.
  • Establishes contacts & maintains active involvement in related areas through participation in professional activities. Maintains familiarity with current research developments. Pursues research as workload & travel funds permit.
  • Expands administrative capabilities through training courses or assumption of new management responsibilities.
  • Responsible for providing administrative & technical direction & supervision of up to four staff members.

Requirements

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Conditions of employment

  • Background investigation.
  • Selective Service registration required for male applicants, unless exempt.

It is NSF policy that NSF personnel employed at or IPAs detailed to NSF are not permitted to participate in foreign government 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. Foreign Talent Definitions

To ensure compliance with an applicable preliminary nationwide injunction, which may be supplemented, modified, or vacated, depending on the course of ongoing litigation, the Federal Government will take no action to implement or enforce the COVID-19 vaccination requirement Safer Federal Workforce Task Force 2 pursuant to Executive Order 14043 on Requiring Coronavirus Disease 2019 Vaccination for Federal Employees. Therefore, to the extent a Federal job announcement includes the requirement that applicants must be fully vaccinated against COVID-19 pursuant to Executive Order 14043, that requirement does not currently apply. Federal agencies may request information regarding the vaccination status of selected applicants for the purposes of implementing other workplace safety protocols, such as protocols related to masking, physical distancing, testing, travel, and quarantine.

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

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

This position is excluded from the bargaining unit.

Please preview "Evaluations" section and "Qualifications" for additional requirements and Quality Ranking Factors.

Qualifications

Candidates must have a Ph.D. in any Mathematical Science (Mathematics, Statistics, Computer Science, Data Science, etc.), plus after award of the Ph.D., six or more years of successful research, research administration, and/or managerial experience pertinent to the position; OR a Master’s degree in any Mathematical Science (Mathematics, Statistics, Computer Science, Data Science, etc.), plus after award of the degree, eight or more years of successful research, research administration, and/or managerial experience pertinent to the position.

This position is outside the competitive civil service.

You must meet eligibility and qualification requirements by the closing date of the announcement.

Additional information

Relocation expenses will NOT be paid.

This announcement is open to current NSF employees who meet citizenship and eligibility requirements. Please note: NSF IPA’s are not considered agency employees and are not eligible to apply. 

Federal Appropriations Law requires that Non-Citizens meet certain eligibility criteria to be considered. Therefore, Non-Citizens must certify eligibility by signing and attaching this Citizenship Affidavit to their application. Non-citizens who do not provide the affidavit at the time of application will not be considered.

This announcement may be used to fill like positions in other organizations within the National Science Foundation.

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.

The Selected Candidate(s) may be subject to a background investigation.

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, expertise, education, and research activities relevant to the duties of the position.  In some cases, additional assessment processes may also be used.

We strongly encourage you to specifically address the Quality Ranking Factors below.  This will ensure that you receive full consideration in the evaluation process.

Quality Ranking Factors

  1. Describe your knowledge of and experience in performing a variety of complex data analytics tasks.
  2. Demonstrated  experience in designing and managing robust data architecture and data infrastructure.
  3. Demonstrated experience developing a strategic plan related to data analytics for an organization
  4. Experience using one or more of the following data analytics tools as a regular part of your daily tasks. Examples of tools include: Tableau, Content Analyst, Lingo4G, Dimensions
  5. Ability to communicate effectively and work productively with the scientific community, peers, and co-workers at all levels to advocate program policies and plans and to fulfill NSF's mission.
  6.  Ability to work collaboratively with representatives of other programs and agencies so as to enhance interdisciplinary research and the mission of NSF.

You may preview questions for this vacancy.

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