Skip to main content
U.S. flag
Back to results

Computer Scientist (Data Scientist), GS-1550-13/14 MP

National Science Foundation
This job announcement has closed

Summary

This position is in the Strategic Human Capital Planning Branch (SHCP) of the Division of Human Resource Management (HRM), Office of Information and Resource Management (OIRM) at the National Science Foundation (NSF). The SHCP Branch is responsible for human capital program and policy development, strategic workforce planning, workforce analytics, human capital accountability, employee engagement, and human resources information technology for the Foundation.

Overview

Help
Reviewing applications
Open & closing dates
08/08/2019 to 08/27/2019
Salary
$99,172 to - $152,352 per year
Pay scale & grade
GS 13 - 14
Location
Alexandria, VA
Few vacancies
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Not required
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-Time
Service
Competitive
Promotion potential
14
Job family (Series)
Supervisory status
No
Security clearance
Other
Drug test
No
Announcement number
HRM-2019-0033
Control number
542056000

Duties

Help

As the Computer Scientist (Data Scientist), the incumbent will serve as a computer scientist / data science expert responsible for executing the advanced application of algorithms, data structures, programming concepts and languages to inform a blend of human capital and business functions data analysis of human capital information from disparate data types, promoting visualizations and storytelling of human capital insights to inform leadership decision-making. Duties include:

  • Methods and Techniques Application: Applies computer science principles and concepts in the design, development, implementation and use of complex databases and software applications. Uses computer programming languages and coding for data science processes, including but not limited to: Data exploration, data filtration, data sampling, and summarization to gather and analyze structured and unstructured data from various platforms.
  • Data Analytics and Reporting: Designs, develops, and adapts mathematical and statistical methods and computer science techniques in analysis of data management challenges. Makes strategic recommendations on data collection, integration and retention requirements incorporating legislative, policy, organizational needs and best practices. Visualizes and shares data stories with senior stakeholders within and outside of the Foundation.

  • Outreach: Participates in and facilitates working groups, delivers presentations and briefings, and participates in tiger teams and committees. Organizes various outreach events and activities to bring awareness and presence of the human capital data scientist role to established groups within and outside of NSF. Build partnerships and networks to leverage best practices from private and public sectors.

  • Change Management: Collaborates with senior staff and team members in employing change management processes, concepts and techniques. Develops change management approach related to organizational readiness for change, leading and initiating change associated with emerging data science practices, products and outcomes, considering stakeholder engagement and communications. Implements organizational changes in structure and business processes through proven methodologies including change management and establishment of evaluation criteria.

Competencies:

  • Computer Languages
  • Data Management
  • Change Management
  • Attention to Detail
  • Project Management
  • Oral Communication
  • Mathematical reasoning

Requirements

Help

Conditions of employment

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

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

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social).  Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.  You will receive credit for all qualifying experience, including volunteer experience

You must meet eligibility and qualification requirements within 30 days of the closing date.

Time in Grade Requirement: Applicants who have held a General Schedule (GS) position within the last 52 weeks must have 52 weeks of Federal service at the next lower grade or equivalent.

You must answer all job-related questions in the NSF eRecruit questionnaire.

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 is a non-bargaining unit position.

Qualifications

To qualify at any grade level, applicants must have a Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.

In addition to the basic education requirement above:

To qualify at the GS-13 level, in addition to meeting the basic requirements, you must have one year of specialized experience equivalent to the GS-12 level in the Federal service.  Examples of specialized experience include applying data mining, data modeling, and machine learning to extract and analyze information from large structured and unstructured data sets; conducting complex analyses concerning the efficiency and effectiveness of business functions to analyze and present trends, projections, and/or predictions; and, collaborating with senior staff and team members in employing change management processes, concepts and techniques.

To qualify at the GS-14 level, in addition to meeting the basic requirements, you must have one year of specialized experience equivalent to the GS-13 level in the Federal service.  Examples of specialized experience include leading the development and implementation of algorithms in various computer software languages; providing expert capabilities for data analysis of information from disparate data types, promoting visualization and storytelling to inform leadership; leading and initiating change management efforts associated with emerging data science practices, products and outcomes.

In addition to meeting the minimum qualification requirements described above, all candidates must meet the following selective factor. Candidates who do not show that they meet the selective placement factor will no longer receive consideration for the position.

Selective Factor: Experience with the following languages and platforms: Oracle Business Intelligence, R, and Python.

Education

You must meet the minimum education requirements as described in “Qualifications."

Additional information

Relocation Expenses Reimbursed will not be paid.

Interagency Career Transition Assistance Program (ICTAP):
ICTAP and CTAP provide eligible displaced Federal competitive service employees with selection priority over other candidates for competitive service vacancies. If your agency has notified you in writing that you are a displaced employee eligible for ICTAP or CTAP consideration, you may receive selection priority if: 1) this vacancy is within your ICTAP or CTAP eligibility; 2) you apply under the instructions in this announcement; and 3) you are found well-qualified for this vacancy. To be well-qualified you must meet the following: OPM qualification requirements for the position, all selective factors, where applicable; special OPM approved qualifying conditions for the position; is physically qualified with reasonable accommodation, where appropriate, to satisfactorily perform the duties of the position upon entry; and receives a rating of at least “Very Good” on the questionnaire.  You must provide proof of eligibility with your application to receive selection priority. Such proof may include a copy of your written notification of ICTAP or CTAP eligibility, or a copy of your separation personnel action form.
Additional information regarding ICTAP or CTAP eligibility is available from OPM's Career Transition Resources

Veteran's Preference:
If you are entitled to veterans' preference, you should indicate the type of veterans' preference you are claiming on your resume. Your veterans' preference entitlement will be verified by the employing agency. For 5-point veterans' preference, please provide your DD-214 (Certificate of Release or Discharge from Active Duty), official statement of service from your command if you are currently on active duty, or other official documentation (e.g., documentation of receipt of a campaign badge or expeditionary medal) that proves your military service was performed under honorable conditions. For 10-point veterans' preference, please submit a Standard Form (SF) 15, Application for 10-Point Veteran Preference, DD-214, and the required documentation as specified on the SF-15.

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.

For additional information on the NSF eRecruit system, please visit our NSF eRecruit Applicant Guide.

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

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.

Ratings will be assigned based on your responses to the occupational questionnaire.  In some cases, additional assessment processes may be used.

Review your resume and responses carefully.  Responses that are not fully supported by the information in your application package may result in adjustments to your score.  A Human Resources Representative will validate the qualifications of those candidates eligible to be referred to the selecting official.

Applicants eligible for selection preference under the Interagency Career Transition Assistance Plan (ICTAP) must meet the agency definition of "well qualified." At NSF, this means a score of 90.0 or higher.

In the merit promotion selection process, due weight will be given to incentive awards and performance appraisals.


To preview questions please click here.

Your session is about to expire!

Your USAJOBS session will expire due to inactivity in 8 minutes. Any unsaved data will be lost if you allow the session to expire. Click the button below to continue your session.