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Interdisciplinary Assistant Director, Computer Scientist/Engineer

Legislative Branch
Government Accountability Office
This job announcement has closed

Summary

This position is located in GAO's Science, Technology Assessment, and Analytics (STAA) Team - Innovation Lab. STAA’s mission is to produce technology assessments, technical performance audits, science oversight audits, engineering sciences analyses, and advanced analytics and cybersecurity research to Congress and GAO overall.

Overview

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Reviewing applications
Open & closing dates
03/30/2020 to 04/27/2020
Salary
$136,011 to - $170,800 per year
Pay scale & grade
PE 03
Location
1 vacancy in the following location:
Washington, DC
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - Some travel may be required.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-Time
Service
Excepted
Promotion potential
03
Supervisory status
Yes
Security clearance
Secret
Drug test
No
Announcement number
GAO-20-STAA-07-DHA
Control number
564192900

This job is open to

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Clarification from the agency

This position is being advertised under the Direct Hiring Authority. *

Duties

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  • Provide technical leadership on development of prototype use cases for emerging technologies such as digital ledger (blockchain), cloud-based “as-a-service” capabilities (including IaaS, PaaS, and SaaS), Internet of Things, robotic process automatic (RPA) and other machine learning systems, virtual/augmented realities, and 5G technologies.
  • Leads execution of projects throughout the innovation lifecycle from ideation through deployment to develop next generation emerging technology capabilities in support of current and future audits, investigations, business operations, and other oversight challenges relevant to GAO’s mission. As necessary, the incumbent will work with experts outside GAO to determine relevant leading practices as well as lessons learned.
  • Identify, develop, test, and evaluate use case prototypes for emerging technologies in areas such as digital ledger (blockchain), cloud-based “as-a-service” capabilities (including IaaS, PaaS, and SaaS), Internet of Things, RPA and other machine learning systems, virtual/augmented realities, and 5G technologies. 
  • Demonstrates mastery level understanding of data quality considerations, including complex data processing, data quality assessment, data imputation, and data governance—including metadata as well as engineered features. The incumbent will lead the development of forensically sound, auditable, flexible, repeatable, and scalable extract transform and load (ETL) capabilities on a variety of structure and unstructured data.
  • Demonstrates mastery level understanding of cloud-based Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) capabilities. The incumbent will also direct implementations and configurations of tools and other computational resources within established information security boundaries.
  • Identifies deficiencies in problem statements, proposed approaches, and/or data access issues which are significant to the design, development, execution, and reporting out of emerging technologies pilots of the Innovation Lab.
  • Supports GAO’s Chief Data Scientist (CDS) and Director of the Innovation Lab in developing, defining, and driving GAO’s strategy with regard to the exploration and deployment of emerging technologies for improved or novel business outcomes.
  • Supports CDS in operational management of the Innovation Lab, including resource allocation management, budget management, vendor relationship management, stakeholder management, and project management.
  • Expands GAO’s prototyping capabilities through a rigorous process of problem definition, ideation, review, revision, and execution to determine the most promising solutions and approaches which, if successful, could profoundly change the business of audit, investigations, and program evaluation for the future GAO.
  • Serves as a Designated Performance Manager (DPM) responsible for supervising, evaluating and documenting work performance of assigned staff. Identifies training and developmental needs and makes provisions for training as required by performance expectations. Coaches staff in skills development, oversees individual development activities, and provides opportunities to develop increased capabilities through a variety of projects and assignments. Hears and resolves employee complaints, recommends disciplinary measures such as warnings and reprimands, and recommends other action in more serious cases. Refers unresolved grievances or more serious complaints to higher-level management.

Requirements

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Conditions of employment

  • You must be a U.S. citizen
  • You may be required to submit a financial disclosure statement.
  • Employees new to GAO in Analyst and Attorney positions must complete a two year probationary period.
  • Registered for Selective Service, if applicable. (www.sss.gov)
  • You must be suitable for federal employment.

Qualifications

In addition to the education requirement, applicants must have 1 year (52 weeks) of specialized experience at the next lower band or level equivalent to the GS-14 in the Federal Service, or comparable private/public sector experience which has equipped the applicant with the skills and knowledge to successfully perform the duties of the position. Specialized experience for this position is defined as practical experience overseeing or leading the development, prototyping, and testing of emerging technical systems including digital ledger (blockchain), cloud-based “as-a-service” capabilities (including IaaS, PaaS, and SaaS), Internet of Things, robotic process automatic (RPA) and other machine learning systems, virtual/augmented realities, and 5G technologies. The incumbent will need to identify relevant use cases, conduct technical evaluations, and support development of audit methodologies on emerging technologies as they related to GAO missions. You must also have experience guiding others to use experimental approaches to effectively develop pilots/prototoypes with emerging technologies.

You must meet all the requirements before the announcements closes.

Education

This position has a positive education requirement. Documentation to verify your education MUST be submitted with your application in order to be considered.

An interdisciplinary, professional position is a position involving duties and responsibilities closely related to more than one professional occupation. As a result, the nature of the work enables people with education and experience in either of two or more professions to be considered equally well qualified to do the work. The final classification of the position is determined by the qualifications of the person selected to fill it. You may qualify for this position based on one of the professional occupations below.

Computer Science Series, 1550:

Basic Requirements:

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.

All Engineering Professional Engineering Positions, 0800:

Basic Requirements. To qualify for this occupational series, you must posses one of the following :

Successful completion of a professional engineering degree. To be acceptable, the program must: (1) lead to a bachelor's degree (or higher) in a school of engineering with at least one program accredited by the Accreditation Board for Engineering and Technology (ABET); or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work of the position.
OR
Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration For more information about EI and EIT registration requirements, please visit the National Society of Professional Engineers website at: http://www.nspe.org
OR
Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico The FE examination is not administered by the U. S. Office of Personnel Management. For more information, please visit: http://www.nspe.org/Licensure/HowtoGetLicensed/index.html.
OR
Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and in engineering that included the courses specified in the basic requirements under paragraph A (above). The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A (above)
OR
Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least one year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily, there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions.

**YOU MUST SUBMIT A COPY OF YOUR TRANSCRIPT(S) SHOWING THIS COURSEWORK. FAILURE TO DO SO WILL RESULT IN AN INELIGIBLE RATING.**

Additional information

This is not a bargaining unit position.

Based on the staffing needs, additional selections may be made through this vacancy announcement.

Selectee may be required to file a Financial Disclosure Statement.

Travel and relocation expenses will not be paid for by the GAO.

Males born after 12/31/59 and at least 18 years of age must be registered with the Selective Service System. Visit http://www.sss.gov/.

Please be aware that applicants will be required to complete questions contained on the Declaration for Federal Employment (OF-306) at the time a tentative job offer is made. If selected, at the time of appointment, selectees will be required to update the OF-306.

If you are selected for this position, you will be subject to a determination of your suitability for Federal employment.

The U.S. Government Accountability Office’s  policy is to provide equal employment opportunity for all regardless of race, religion, color, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, or gender identity.

The U.S. GAO is part of the Legislative Branch of the Federal government. As such, all positions are in the excepted service.  Initial appointments, permanent or indefinite, to the GAO require completion of a one-year or two-year probationary period.

How you will be evaluated

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

The position(s) advertised in this announcement are covered by a direct hire authority. Traditional rating and ranking of applicants, including category rating, does not apply to this vacancy. Your qualifications will be initially evaluated against the basic qualifications only. Qualified applicants will be referred for consideration in accordance with the Office of Personnel Management Direct Hire guidelines. Veterans' Preference does not apply to positions covered by a direct hire authority.

Please make sure that your responses to the assessment questions are supported in your resume and follow all instructions carefully. If you provide incomplete answers, fail to provide a narrative response to any assessment question(s) that requires further explanation, or if your response to an assessment question is "see resume,” your application may be affected or you may be determined ineligible.

All applicants will be evaluated based on their responses to the assessment questions, in conjunction with the following Knowledge, Skills and Abilities (KSA’s):

  • Mastery-level experience evaluating options for emerging technologies using the Agile development method, including prototyping, infrastructure and tools, designing comparative tests, and recommending steer build/buy decisions. Examples would include digital ledger (blockchain), cloud-based “as-a-service” capabilities (including IaaS, PaaS, and SaaS), Internet of Things, RPA and other machine learning systems, virtual/augmented realities, and 5G technologies.
  • Mastery-level experience in a variety of software, computational, and/or electrical engineering disciplines and interrelated advanced concepts, including theories, principles, practices, methods, and techniques related to systems, architectures, software, and cyber security.
  • Mastery-level experience of peer-to-peer networking architectures and algorithms, cryptographic hashes, public key and asymmetric key cryptographic systems, digital signatures and verification, Merkel trees, consensus algorithms, machine learning algorithms, statistical computing, and information assurance concepts described in the NIST cybersecurity framework.
  • Mastery-level understanding of potential disparate impacts stemming from outputs of predictive models, including ways to mitigate model biases and errors, while enhancing relevant confidence metrics.
  • Mastery-level, hands-on experience in processing and staging structured and unstructured data, metadata, and engineered features, including development of forensically sound, auditable, flexible, repeatable, and scalable ETL routines across diverse data processing systems and data warehouses/lakes.
  • Ability to lead and manage a technically and professionally diverse, yet highly talented workforce.
  • Ability to collaborate and work effectively and complete projects in a group setting, particularly across organizational boundaries and with those with less technical backgrounds.
  • Skill in effectively communicating orally and in writing to prepare reports, participates in interviews and meetings, to make presentations. By way of definition, oral communication may include methods used by employees with disabilities such as sign language interpretation, text-to-speech or TTY technology, and amplification devices.

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