This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/job/816248400. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.
As a Supervisory Data Scientist, you will train and support early-career staff performing data science functions with top technology changemakers in the federal government to build human-centered solutions to some of our nation’s toughest challenges.
Location of position: General Services Administration, Technology Transformation Services (TTS), U.S. Digital Corps (USDC) Division.
We are currently filling one vacancy, but additional vacancies may be filled as needed.
Learn more about this agency10/31/2024 to 11/05/2024
$122,198 - $191,900 per year
GS 14
few vacancies in the following location:
Yes
Not applicable, this is a remote position.
Occasional travel - Travel may be required as needed
No
Term - NTE 4 years. Initial appointments are made lasting longer than 1 year, but not to exceed 4 years. GSA may extend an appointment up to 6 additional years (10 years total)
Full-time
Competitive
14
Yes
No
Q2-2025-0019
816248400
This public notice is issued under Direct Hire Authority (DHA) to recruit talent to occupations for which there is a severe shortage of candidates or a critical hiring need. This means that we can hire any qualified candidate from this notice or any other source. About this DHA notice: -Current civil service employees will receive new appointments if selected under this DHA. -For information on DHA, please visit https://www.opm.gov/policy-data-oversight/hiring-information/direct-hire-authority/
Technology Transformation Services (TTS) position title: USDC Fellow Experience Supervisor
Supervisory Duties:
Senior Expert in Data Science:
If selected, you must meet the following conditions:
For each job on your resume, provide:
If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.
For a brief video on creating a Federal resume, click here.
The GS-14 salary range starts at $122,198 per year.
If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.
All candidates for Data Scientist positions must meet one of the following basic qualification requirements:
Basic Requirement:
A) Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
(B) Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience.
Specialized Experience: In addition to meeting the basic requirements above, applicants must demonstrate that they have at least one year of specialized experience equivalent to the GS-13 level in Federal service. Specialized experience is defined as:
This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment.
Note: If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/
Relocation-related expenses are not approved and will be your responsibility.
On a case-by-case basis, the following incentives may be approved:
· Recruitment incentive if you are new to the federal government
· Relocation incentive if you are a current federal employee
· Credit toward vacation leave if you are new to the federal government
Additional vacancies may be filled through this announcement in this or other GSA organizations within the same commuting area as needed; through other means; or not at all.
GSA is committed to diversity, equity, inclusion and accessibility that goes beyond our compliance with EEO regulations including:
You will be evaluated for this job based on how well you meet the qualifications above.
Applications will be evaluated against the basic qualifications. Qualified candidates will be considered in accordance with the Office of Personnel Management Direct Hire Guidelines. Applications will not be rated or ranked. Veterans’ Preference does not apply to the direct hire recruitment procedures.
You may not be considered for the position, if any part of the application is incomplete or missing the required supporting documentation. Falsifying your background, education and/or experience is cause for not hiring you or dismissing you if hired.
ICTAP/CTAP Candidates: The Interagency Career Transition Assistance Plan (ICTAP) and Career Transition Assistance Plan (CTAP) provide eligible displaced Federal competitive service employees with selection priority over other candidates for competitive service vacancies. To be qualified you must submit appropriate documentation (a copy of the agency notice, your most recent performance rating, and your most recent SF-50 noting current position, grade level, and duty location) and be found “well-qualified" for this vacancy. In addition to meeting the basic qualifications stated in the qualification section of this announcement, well qualified is defined as: experience that exceeds the minimum qualifications of the position, demonstrated by meeting at least 51% or more of the competencies/KSA’s listed below (i.e. 3 out of 5, or 4 out of 6, or 5 out of 8, etc.)
Mastery of all stages of data science project, product, and service development and related ability to provide subject-matter expertise to support and improve data science program effectiveness and efficiency and related knowledge of data science programs and services integration sufficient to develop solutions to data science issues/problems and coordinate administration of USDC operations that meet partner agency business requirements.
Knowledge of the GSA, TTS, USDC, and partner agency missions and programs sufficient to develop and advise on data science guidelines (e.g., policies) and strategies and implement data science program and/or project goals to enhance partner agencies’ data science programs.
Expert knowledge of data science techniques and requirements within the federal government and current and emerging data science solutions (i.e., software, applications, algorithms, programs, and/or services) needed sufficient to work with partnering agencies in quantitatively and/or qualitatively analyzing complex data science program operations and mission requirements.
Expert knowledge of advanced data science (e.g., data engineering, data analytics, AI/ML ) principles, concepts, methods, standards, and practices and related skill in applying them in their interrelationships with other specialties; new data science developments; emerging technologies and their applications to business processes; data science project management principles, methods, and practices, including developing plans and schedules, estimating resource requirements, defining milestones and deliverables.
ALL required documents must be submitted before the closing date. Review the following list to determine what you need to submit.
Your resume showing applicant's name, email address, work schedule, hours worked per week, dates of employment and duties performed.
If you are ICTAP/CTAP eligible - submit a, b, and c: (a) proof of eligibility including agency notice; (b) SF-50, and (c) most recent performance appraisal.
Current or Former Political Appointees: Submit SF-50.
College transcripts: If you are using some or all of your college education to meet qualification requirements for this position, you must submit a photocopy of your college transcript(s). Transcripts MUST show: name of the institution, student's name, course work/degree(s) completed/conferred and dates. If selected, an official transcript will be required prior to appointment.
For education completed outside the United States, also submit a valid foreign credential evaluation that substantiates possession of the required education.
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
Submit a complete online application including any required documents prior to 11:59 pm Eastern Time on the closing date of the announcement. You can modify or complete your application any time before the deadline. Simply return to USAJOBS, select the vacancy, and update your application. For more detailed instructions on how to apply, click here: Apply for a GSA Job.
If you are having issues applying to this announcement, you should switch to a different browser, network or device. Note: Your firewall may block your transfer from USAJOBS to your GSA application.
To begin, click the Apply Online button on the vacancy announcement.
Need Assistance?
You must receive HR approval before deviating from these instructions.
Be sure to APPLY EARLY as most assessments must be completed fully and submitted before the announcement closing.
After the closing date/deadline:
Thank you for your interest in working for U.S. General Services Administration!
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/job/816248400. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.
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