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Interdisciplinary (Supervisory Data Analytics Officer)

National Science Foundation
This job announcement has closed

Summary

The National Science Foundation is seeking qualified candidates for a Supervisory Data Analytics Officer position for Office the Assistant Director (OAD) within the Directorate for Computer and Information Science and Engineering (CISE), Alexandria, VA.

For more information on CISE please click here

Overview

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Hiring complete
Open & closing dates
11/15/2021 to 11/30/2021
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
Yes—Relocation MAY be paid contingent upon the availability of funds.
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
Moderate Risk (MR)
Trust determination process
Announcement number
CISE-2022-0001
Control number
622264000

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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CISE’s mission is to enable the U.S. to uphold its leadership in computing, communications, and information science and engineering; promote understanding of the principles and uses of advanced computing, communications, and information systems in service to society; support advanced cyberinfrastructure that enables and accelerates discovery and innovation across all science and engineering disciplines; and contribute to universal, transparent, and affordable participation in an information-based society.

The Directorate Data and Analytics Officer assists the CISE Assistant Director and Deputy Assistant Director in the formulation of the directorate's scientific goals and program planning through the use of raw data, data analytics, and evaluation procedures and tools. The incumbent prepares relevant analyses which provide a basis for major decisions in priority setting, directorate and program planning and internal management, and translating scientific decisions into effective budgetary and operational activities. He/she, current in data analytics capabilities, is cognizant of current and proposed initiatives impacting the CISE directorate and provides advice on the implications of such on the directorate's future programs, budgets, and the merit review process.  He/she will supervise two or more members of the data and analytics team.

Duties:

  • The Directorate Data & Analytics Officer (DDAO) is responsible for establishing and maintaining a directorate-wide data vision and strategy, as well as data governance, quality, architecture, and analytics – ensuring CISE maximizes the value of its data assets to fulfill its mission.
  • Work closely with the CISE management team to manage the ever-growing data assets and needs and enable CISE to harness that data to support data-driven decision making and strategy setting as well as improve operational efficiency.
  • Supervise the Data Science team.
  • Develop and implement an effective data governance structure in CISE with a focus on strategic data asset development and utilization.
  • Design a robust data architecture and leverage sound data infrastructure – enabling CISE to maximize opportunities for data analytics innovations while meeting NSF data compliance mandates in privacy and security.
  • Develop a comprehensive CISE data analytic strategic plan and build capabilities to help the directorate gain insight and perspective on CISE data, and support both tactical and strategic decision making
  • Represent the directorate and Foundation with other NSF units, other appropriate agencies and organizations, the scientific community, and the public, accurately reflecting NSF policy and positions.
  • Establish contacts and maintain active involvement in related areas through participation in professional activities. Maintain familiarity with salient current research developments. Pursue individual research as workload and travel funds permit.

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

As required by Executive Order 14043, Federal employees are required to be fully vaccinated against COVID-19 regardless of the employee’s duty location or work arrangement, subject to such exceptions as required by law. This policy applies to all NSF staff, to include employees, Intergovernmental Personnel Act (IPA) assignees, Visiting Scientists, Engineers, and Educators (VSEEs), as well as fellows and interns. If selected, you will be required to be fully vaccinated against COVID-19 by November 22, 2021 and submit documentation of proof of vaccination by November 22, 2021 or before appointment or on-boarding with the agency, if after November 22. Upon selection, NSF will provide additional information regarding what documentation will be needed and how you can request a legally required exception from this requirement. 

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 in the bargaining unit.

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

Qualifications

Candidates must have a Ph.D. in Computer Engineering or Computer Science or related field, 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 Computer Engineering or Computer Science or related field, 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 MAY be paid contingent upon the availability of funds

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. Knowledge of CISE’s mission and vision.
  2. Ability to recognize data trends and formulate strategies that respond to the Directorate goals and needs.
  3. Experience in data- and computational-tools and methods including data analytics, application development, storage systems design and operations, software and tool development and algorithms.

To preview questions please click here.

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