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Data Scientist - Interdisciplinary

Department of Labor
Office of the Assistant Secretary for Administration and Management
Office of the Chief Information Officer
This job announcement has closed

Summary

This is an interdisciplinary position that may be filled as one of the following: Data Scientist, Computer Engineer (Data Scientist), Computer Scientist (Data Scientist), Operations Research Analyst (Data Scientist), Mathematical Statistician (Data Scientist) or Statistician (Data Scientist).

To learn more about OCIO visit our website and LinkedIn. To view our current vacancies visit Join OCIO

This position is inside the bargaining unit.

Overview

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Hiring complete
Open & closing dates
04/18/2024 to 05/02/2024
This job will close when we have received 200 applications which may be sooner than the closing date. Learn more
Salary
$122,198 to - $191,900 per year
Pay scale & grade
GS 14
Location
2 vacancies in the following location:
Location Negotiable After Selection
Remote job
No
Telework eligible
Yes—The selectee will report to an assigned DOL office location on a regular basis and be eligible for telework as determined by agency policy. This is not a remote position.
Travel Required
Not required
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
14
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Announcement number
DH-24-CHI-OCIO-12389053-KMT
Control number
787361200

This job is open to

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Clarification from the agency

This position is being filled through Direct Hire Authority and is open to all U.S. Citizens and ICTAP/CTAP eligibles. All applicants who meet the basic qualifications will be forwarded to the Selecting Official for consideration. Traditional rating and ranking of applications does NOT apply. Veteran's preference does not apply. However, we encourage veterans to apply for this position.

Duties

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Selectee(s) will report to an assigned DOL office location on a regular basis and be eligible for telework as determined by agency policy. This is not a remote position. Offices are located in Washington, DC; Beckley, WV; Pittsburgh, PA; Boston, MA; New York, NY; Cincinnati, OH; Philadelphia, PA; Atlanta, GA; Cleveland, OH; Chicago, IL; Kansas City, MO; Denver, CO; Lakewood, CO; Dallas, TX; San Francisco, CA; Seattle WA; Jacksonville, FL; Arlington, VA; Sandy, UT and Triadelphia, WV. For specific locations, see: DOL offices. Advertised salary reflects the pay range for the above locations. Upon selection, salary will be set in accordance with the selectee's assigned duty location.

Major duties for this position include, but are not limited to:

  • Conduct and validate hypothesis or model testing using programming languages and mathematical and statistical processes to answer important questions from vast sets of structured and unstructured data.
  • Plan, coordinate, and execute complex and innovative studies using advanced data modeling techniques and procedures, data trend analysis, and Machine Learning (ML) algorithms. Develops a well-rounded ML model with reinforcement learning, semi-supervised learning, deep learning, Natural Language Processing (NLP), etc.
  • Gather and process data from multiple sources and applies ML predictive analytics, and sentiment analysis to extract critical information from the collected data sets.
  • Test models to evaluate performance, identify potential areas of weakness, and mitigate vulnerabilities.
  • Organize, manage, and update databases for Artificial Intelligence (AI)-powered systems for optimal access, filtering, and retrieval of stored data.
  • Transform raw data into key metrics, charts, and reports and present them in formats for high-ranking government officials and key stakeholders to make consequential operational decisions.
  • Collaborate with team members to identify opportunities to incorporate new technology or techniques and to maximize the impact on current projects.
  • Performs other duties as assigned.

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.

Qualifications

You must meet the Basic Requirements and the Specialized Experience to qualify for Data Scientist - Interdisciplinary, as described below.

Basic Requirements for 0800 Engineering Series
all-professional-engineering-positions-0800.pdf (opm.gov)

Basic Requirements for 1515 Operations Research Series
Operations Research Series 1515 (opm.gov)

Basic Requirements for 1529 Mathematical Statistics Series
Mathematical Statistics Series 1529 (opm.gov)

Basic Requirements for 1530 Statistics Series
Statistics Series 1530 (opm.gov)

Basic Requirements for 1550 Computer Science Series
Computer Science Series 1550 (opm.gov)

Basic Requirements for 1560 Data Science Series
Data Science Series 1560 (opm.gov)

IN ADDITION TO MEETING THE BASIC REQUIREMENTS LISTED ABOVE, APPLICANTS MUST ALSO MEET MINIMUM QUALIFICATIONS TO BE CONSIDERED.

Applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level GS-13 in the Federal Service.

Specialized Experience is the experience that equipped the applicant with the particular knowledge, skills, and abilities (KSA's) to perform the duties of the position successfully, and that is typically in or related to the position to be filled. To be creditable, specialized experience must have been equivalent to at least the next lower grade level.

Qualifying specialized experience for GS-14 includes:

  • Applying technical or policy knowledge of Artificial Intelligence (AI) generative models and Machine Learning (ML) algorithms.
  • Experience using theories, techniques, and methods of mathematical, statistical, computer, and/or data science to serve as a technical advisor.
  • Experience using data analytics, modeling, and data mining to validate data sources, establish testing, and implement projects with new approaches.
  • Experience defining objectives and goals and formulating/tracking measures of success.

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 course work requirements for this position.

Click Evaluation of Foreign Education for more information.

Additional information

This position is being filled through the Direct Hire Authority. Traditional rating and ranking of applications do NOT apply. The Veteran's preference does not apply.

This position is inside the bargaining unit. If the duty location is within the Washington, D.C. metropolitan area, the position will be included in the Local 12, AFGE bargaining unit. If the duty location is outside the Washington, D.C. metropolitan area, the position will be included in the NCFLL bargaining unit.

DOL seeks to attract and retain a high-performing and diverse workforce in which employee differences are respected and valued to better meet the varying needs of the diverse customers we serve. DOL fosters a diverse and inclusive work environment that promotes collaboration, flexibility, and fairness so that all individuals can participate and contribute to their full potential.

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

As a condition of employment, all personnel must undergo a background investigation for access to DOL facilities, systems, information and/or classified materials before they can enter on duty: BACKGROUND INVESTIGATION

Click here for Telework Position Information

Based on agency needs, additional positions may be filled using this vacancy.

The Department of Labor may use certain incentives and hiring flexibilities, currently offered by the Federal government to attract highly qualified candidates. Click here for Additional Information.

The Fair Chance Act (FCA) prohibits Federal agencies from requesting an applicant's criminal history information before the agency makes a conditional offer of employment. If you believe a DOL employee has violated your rights under the FCA, you may file a complaint of the alleged violation following our agency's complaint process Guidelines for Reporting Violations of the Fair Chance Act.

Note: The FCA does not apply to some positions specified under the Act, such as law enforcement or national security positions.

How you will be evaluated

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

Under the authority of direct hire recruitment, evaluation factors are a tool to gauge one's proficiency in relevant competencies, but will not be used to determine who will be referred to the hiring manager for consideration. All candidates who have provided a complete application, and meet the minimum qualification requirements will be referred for consideration. Please review evaluations details here.

Click here for Evaluation details.

You may preview questions for this vacancy here: https://apply.usastaffing.gov/ViewQuestionnaire/12389053

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.

INFORMATION FOR ICTAP/CTAP ELIGIBLE(S) ONLY:
If you are eligible for special priority selection under ICTAP/CTAP, you must meet the basic and minimum qualification requirements for this position to receive consideration. Be sure to review the eligibility questions to reflect that you are applying as an ICTAP or CTAP eligible and submit supporting documentation.

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