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

Data Scientist

Office of Personnel Management
Human Resources Solution, Federal Staffing Center, Talent Acquisition Analytics Group
This job announcement has closed

Summary

This position is in Human Resources Solutions (HRS), Federal Staffing Center (FSC), Talent Acquisition Analytics Group (TAAG). This individual in this position serves as TAAG's senior technical expert and advisor in the areas of advanced data analytics, data science, and machine learning.

Human Resources Solutions has many job openings at various levels and locations. View them here: https://www.usajobs.gov/Search/Results?mco=OPM-HRS

Overview

Help
Reviewing applications
Open & closing dates
11/14/2024 to 11/29/2024
Salary
$122,198 to - $191,900 per year

The salary range for this announcement reflects Rest of US GS-14/1 @ $122,198 to highest GS-14/10 San Jose-San Francisco-Oakland, CA @ $191,900

Pay scale & grade
GS 14
Location
1 vacancy in the following location:
Anywhere in the U.S. (remote job)
Remote job
Yes
Telework eligible
Not applicable, this is a remote position.
Travel Required
25% or less - You may be expected to travel for this position.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
None
Job family (Series)
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Financial disclosure
No
Bargaining unit status
Yes
Announcement number
24-RBJ-12607605-OPM
Control number
819220200

Videos

Duties

Help

Duties:

- Serves as TAAG's senior technical advisor for advanced data analytics, data science, and machine learning to strengthen the technical capacity of HRS.
- Uses programming languages (e.g., Python, R) to conduct complex analyses and develop machine learning models. - Leads complex analyses, including developing analysis plans, modelling data, conducting analyses, and communicating results, to answer business and research questions of OPM and customer agencies.
- Develops and deploys machine learning applications that find patterns in large volumes of data to improve the efficiency and effectiveness of Federal human resources processes.
- Transforms structured and unstructured data using advanced scientific, mathematical, and statistical principles and theories (e.g., Natural Language Processing) to develop data sets for advanced analytical purposes.
- Develops and maintains analytics product project plans to clearly communicate project goals, costs, and constraints.
- Establishes analytics team processes and standards to ensure models, applications, and code meet quality standards (e.g., data accuracy, computing costs, transparency, equity, and processing speed).
- Reviews the work of other data scientists and analysts to ensure technical standards are met.
- Identifies technical requirements for advanced analytics information technology systems to support the development of tools and environments for advanced analytical work.
- Represents TAAG at OPM and interagency workgroups and project teams to support government-wide analytics efforts.

Requirements

Help

Conditions of employment

  • Must be a U.S. Citizen or National
  • Males born after 12-31-59 must be registered for Selective Service
  • Suitable for Federal employment, determined by a background investigation
  • May be required to successfully complete a probationary period
  • This position is eligible for inclusion in the bargaining unit.
    • if the duty station is finalized in the Washington, DC metropolitan area, employees in this position will be represented by the American Federation of Government Employees (AFGE) Local 32. (BU Code - 2286)
    • if the duty station is finalized outside of the Washington, DC metropolitan area, this position will not be represented by a bargaining unit. (BU Code - 7777)

Qualifications

Applicants must demonstrate that they meet the Basic Requirements AND Specialized Experience requirements as noted below.

Basic Requirements
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.

For the GS14: You must have one full year (52 weeks) of specialized experience that is at least equivalent in difficulty and complexity to work performed at the GS-13 grade level. Specialized experience for this position must have included all the following:
- Using programming languages (e.g., Python, R) and data science tools (e.g., Databricks) to conduct advanced research or analysis projects;
- Developing advanced analytics models (e.g., artificial intelligence, machine learning, or statistical) using real-world data to improve the efficiency or effectiveness of a process; AND
- Leading analytics projects including developing project plans and reviewing the work of team members to ensure the successful completion of projects

Merit promotion applicants must meet time-in-grade requirement as defined in 5 CFR 300, Subpart F. One year at the GS-13 level is required to meet the time-in-grade requirements for the GS 14 level.

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

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.

Education

This position has a basic education requirement listed under the Qualifications section of this announcement.

Additional information

Relocation expenses will not be paid.

This job opportunity announcement may be used to fill additional similar vacancies across OPM.

If you are unable to apply online or need to fax a document that you do not have in electronic form, view the following link for information regarding an Alternate Application: http://help.usastaffing.gov/Apply/index.php?title=Alternate_Application_Information

If you are unable to apply online or need to fax a document that you do not have in electronic form, view the following link for information regarding an Alternate Application. Click the following link for more information, https://help.usastaffing.gov/Apply/index.php?title=Alternate_Application_Information.

How you will be evaluated

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

Once the application process is complete, your resume will be used to determine whether you meet the job qualifications listed on this announcement. If you are minimally qualified for this job, your resume will be compared to your responses on the Occupational Questionnaire. If you rate yourself higher than is supported by your application materials, your responses may be adjusted and/or you may be excluded from consideration for this job. Your qualifications will be evaluated on the following competencies (knowledge, skills, abilities and other characteristics):

  • Artificial Intelligence/Machine Learning
  • Data Analysis
  • Oral Communication
  • Teamwork


All qualified Non Competitive applicants and the best qualified Merit Promotion applicants will be referred to the hiring manager for consideration.

Candidates who pass the required assessment will be asked to complete a Structured Interview with a panel of Subject Matter Experts (SMEs) to further assess whether their experience meets the specialized experience displayed in the qualification section of this announcement. Only applicants who demonstrate this experience will move on the next phase of the process.

Career Transition Assistance Programs: These programs apply to Office of Personnel Management (OPM) employees who meet the definition of surplus or displaced from a position in the competitive service. To receive selection priority for this position, you must: 1) meet CTAP eligibility criteria; 2) be rated well-qualified for the position; and 3) submit the appropriate documentation to support your CTAP eligibility. For more information: http://www.opm.gov/rif/employee_guides/career_transition.asp

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.