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Supervisory Data Scientist

Department of Labor
Employment and Training Administration
Office of Foreign Labor Certification
This job announcement has closed

Summary

This position is located in the United States Department of Labor (DOL), Employment and Training Administration (ETA), Office of Foreign Labor Certification (OFLC). As a recognized expert in data science, data analysis, and statistical methods, the incumbent provides data science expertise in the development, analysis, and implementation of data program(s).

This position is outside the bargaining unit.

Overview

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Hiring complete
Open date: 08/11/2023
Closed date: 08/16/2023
Location
1 vacancy in the following location:
Work site options
Telework eligible
Yes—as determined by the agency policy.
Remote job
No
Relocation expenses reimbursed
No
Salary
$116,393 - $183,500 per year

Advertised salary reflects the nationwide pay range. Upon selection, the salary will be set in accordance with the selectee's duty location.

Pay scale & grade
GS 14
Promotion potential
14 - This position is at the Full Performance Level (FPL).
Pay scale and grade determines the salary of the job.
Work schedule
Full-time
Travel Required
Occasional travel - You may be expected to travel for this position.
Appointment type
Permanent
Occupations and job series
Supervisory status
Yes
Federal service type
This job is in the Competitive Service
Drug test
No
Security clearance
Not Required
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Jobs require a background check and some require a security clearance. The type depends on the job.
Background check type
Announcement number
MS-23-DAL-ETA-12085000-AFR
Control number
742904300

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Duties

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  • Assigns, monitors, and reviews work of subordinates to ensure completeness, sound judgment, and compliance with established policies, practices, and procedures. Provides instruction, advice, or counsel to subordinates on both work related and administrative issues. Analyzes work practices and procedures and makes recommendations to improve efficiency and/or effectiveness. Articulates and communicates assignments, projects, actionable events, and deadlines for completion to the team. Coach the team in the selection and application of appropriate problem-solving methods and techniques, provide advice on work methods, practices, and procedures.:
  • Serves as a team lead for designing, implementing, and evaluating large, complex analytical applications, projects, and studies, applying a combination of computational and analytical methods. Combine, analyze, and interpret large and/or complex data sets to develop data-driven organizational solutions. Initiates and directs projects that include advanced scientific, statistical, and predictive techniques (e.g., regression analysis, statistical analysis, predictive techniques, modeling, and data visualization). Develops, adapts, and integrates data mining capacities using enhanced algorithms as well as structured databases to achieve the insight and perform predictive analytics on these data. Provides advice and guidance on the most effective methods for analyzing and interpreting data. Conducts data extraction and creates advanced queries using various types of database and analytical tools (e.g., SQL Server).
  • Leads a team that provides state-of-the-art research; data analysis and interpretation; database design and development; and troubleshooting and guiding the effective use of applications, data management and visualization tools. Utilizes an extensive variety of analytical and assessment methods and tools to develop evaluations, comprehensive reports of findings, and recommendations. Serves as an advisor to senior management and program staff on issues relating to research and resources in data science.
  • Conducts comprehensive evaluations and assessments of programmatic performance data to provide findings, conclusions, and recommendations to senior management and program staff. Analyzes a variety of data sources to provide data-driven insights to the organization to streamline processes and evaluate the effectiveness of the program operations in meeting established goals and objectives. Analyzes management information requirements to develop program or administrative reporting systems including the system's specifications, data gathering, analytical techniques, and systems evaluation methodology.
  • Conducts in-depth analysis of data and disseminates the results of those analyses. Conducts research and statistical analysis on available data and presents findings in the most relevant format, including text, graphs, charts, tables, and models. Develops guidelines for data science activities and applications within the organization.

Requirements

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Conditions of employment

  • Must be at least 16 years old.
  • Must be a U.S. Citizen.
  • Candidate required to obtain the necessary security/investigation level.
  • Requires a probationary period if the requirement has not been met.
  • Subject to financial disclosure requirements.
  • Requires a supervisory probationary period if the requirement has not been met.

Qualifications

Basic requirements for all grades

The individual occupational requirements typically provide at least two methods for applicants to meet the basic requirements of the occupations covered by this standard:

1. Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree that included a major field of study or specific course requirements generally as stated in paragraph A in the individual occupational requirements.

Where specific course requirements are not indicated in paragraph A, the number of semester hours required to constitute a major field of study is the amount specified by the college or university attended. If this number cannot be obtained, 24 semester hours will be considered as equivalent to a major field of study. The nature and quality of this required course work must have been such that it would serve as a prerequisite for more advanced study in the field or subject-matter area. Related course work generally refers to courses that may be accepted as part of the program major.

2. Appropriate combination of education and experience that is typically specified in paragraph B of the individual occupational requirements. The "paragraph B" method generally requires that an applicant possess a core of educational credit, such as described in paragraph A above, plus additional education and/or experience. The method of determining the number of semester hours required to constitute a major field of study is the same as described in paragraph A.

This position is covered under Individual Occupational Requirement for series 1560:

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 in paragraph A above, plus additional education or appropriate experience.

In addition to meeting basic requirement,GS-14: Applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level, GS-13 in the Federal Service or equivalent. Specialized experience is defined as performing all phases of data analysis, including identifying data sources, gathering and compiling data, obtaining insights through analysis and application of statistical techniques, and communicating insights through visualizations, dashboards, reports and/or written analysis.

Specialized experience must include at least 4 of the following:

  • Compiling, processing, and mining structured and unstructured datasets for patterns, trends, and clusters.
  • Creating and refining analytical models, and writing algorithms.
  • Transforming data into knowledge/visualization (e.g. dashboards, graphs, charts, tables, and models) that guide data-driven decision-making and insights.
  • Managing data, assessing its fitness for analysis, and applying quantitative techniques (e.g., descriptive analysis, sampling, correlation, regression, and prediction).
  • Overseeing written analysis that summarizes important trends resulting from quantitative and qualitative data compilation and analysis.

IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC, WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUREXPERIENCE.

Education

Any applicant falsely claiming an academic degree from an accredited school will be subject to actions ranging from disqualification from federal employment to removal from federal service.

If your education was completed at a foreign college or university, you must show comparability to education received in accredited educational institutions in the United States and comparability to applicable minimum coursework requirements for this position. Click Evaluation of Foreign Education for more information.

Additional information

Persons who are deaf, hard of hearing, blind, or have speech disabilities, please dial 711 to access telecommunications relay services.

The mission of the Department of Labor (DOL) is to protect the welfare of workers and job seekers, improve working conditions, expand high-quality employment opportunities, and assure work-related benefits and rights for all workers. As such, the Department is committed to fostering a workplace and workforce that promote equal employment opportunity, reflects the diversity of the people we seek to serve, and models a culture of respect, equity, inclusion, and accessibility where every employee feels heard, supported, and empowered.

Refer to these links for more information: GENERAL INFORMATION, REASONABLE ACCOMMODATION, ADDITIONAL DOCUMENTATION, FORMER FEDERAL EMPLOYEES

Department of Labor may use certain incentives and hiring flexibilities, currently offered by the Federal government to attract highly qualified candidates. Additional information is available at https://www.opm.gov/policy-data-oversight/pay-leave/pay-and-leave-flexibilities-for-recruitment-and-retention/

You may not be aware, but in the regulations for agency ethics programs, there are requirements for supervisors. Section 2638.103 of Title 5 of the CFR states: Every supervisor in the executive branch has a heightened personal responsibility for advancing government ethics. It is imperative that supervisors serve as models of ethical behavior for subordinates. Supervisors have a responsibility to help ensure that subordinates are aware of their ethical obligations under the Standards of Conduct and that subordinates know how to contact agency ethics officials. Supervisors are also responsible for working with agency ethics officials to help resolve conflicts of interest and enforce government ethics laws and regulations, including those requiring certain employees to file financial disclosure reports. In addition, supervisors are responsible, when requested, for assisting agency ethics officials in evaluating potential conflicts of interest and identifying positions subject to financial disclosure requirements.

This position is subject to the confidential financial disclosure requirements of the Ethics in Government Act of 1978 (P.L. 95-521). Therefore, if selected, you will be required to complete a Confidential Financial Disclosure Report (OGE Form 450) to determine if a conflict or an appearance of a conflict exists between your financial interest(s) and your prospective position with DOL. This information will be required annually.

Telework or Telework Positions: Eligibility is determined by management based on position duties during the recruitment process. Employee participation in telework on a routine or situational basis is determined by management primarily based on business needs. Employees participating in telework are subject to the terms and conditions of the Department of Labor's Telework Program.

How you will be evaluated

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

Evaluation Factors (Competencies) - All qualified applicants will be evaluated on the following key competencies:

  • Capacity Management
  • Data Management
  • Managing Human Resources
  • Research
  • Writing


Click here for Evaluation details.

You may preview questions for this vacancy here: https://apply.usastaffing.gov/ViewQuestionnaire/12085000

The information you provide may be verified by a review of your paid, unpaid, volunteer, and other lived experience, as it demonstrates the competencies or skills required for the position to be filled. Your evaluation may include an interview, reference checks, or other assessment conducted by HR specialists, subject matter experts, or panel members and may include other assessment tools (ex. interview, structured interview, written test, work sample, etc.). The examining Office of Human Resources (OHR) makes the final determination concerning applicant ratings. Your resume MUST provide sufficient information to substantiate your vacancy question responses. If not, the OHR may amend your responses to more accurately reflect the level of competency indicated by the content of your resume.

INFORMATION FOR ICTAP/CTAP ELIGIBLE(S) ONLY: If you are eligible for special priority selection under ICTAP/CTAP, you must be well-qualified for the position to receive consideration. ICTAP/CTAP eligible(s) will be considered "well-qualified" if they attain at least a rating score of 85 in a numerical rating scheme. Be sure to review the eligibility questions to reflect that you are applying as an ICTAP or CTAP eligible and submit supporting documentation.

Employment and Training Administration

Agency contact information

Andreas Regal
Phone
972-850-4187
Email
regal.andreas.f@dol.gov
Address
Employment and Training Administration
200 Constitution Avenue NW
Washington, DC 20210
US

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https://www.dol.gov/general/jobs/vacancy-information#marketing-statement

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