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Job opening: Data Scientist (Statistical Analyst)

Salary: $112 015 - 145 617 per year
Published at: Oct 10 2023
Employment Type: Full-time
This announcement will be used to fill vacancies through the Government-Wide Direct Hire Authority. Category rating, veteran's preference, and traditional rating and ranking of applicants DO NOT APPLY to this vacancy. For more information on OPM's Authorization of Direct Hire Authority, please click here

Duties

You will serve as a Data Scientist (Statistical Analyst) for the Small Business Administration (SBA), Office of Disaster Assistance (ODA), Disaster Data Analytics and Information Technology Division in Washington, District of Columbia. This position provides subject matter expertise in the highly technical and specialized area of data sciences and is a key advisor to the DDAIT Division on all matters related to data science. As a Data Scientist (Statistical Analyst) at the GS-1560-13, some of your typical work assignments may include: Working with large and complex data sets (big data) and performing extensive analysis of volumes of data through macros, pivot tables, etc. Ensuring all data analytics efforts are conducted in accordance with information security best practices. Developing changes to plans and/or methodology; and providing recommendations for improvements to meet program objectives. Developing policy and guidelines for specific areas of data science. Generating ideas for new algorithms, programs, policies, or approaches IMPORTANT NOTES: This is a Permanent position, which is a competitive service status position with a full-time work schedule. The pay range reflects WASHINGTON-BALTIMORE-ARLINGTON locality pay. The actual pay will depend on the location of the employee's duty station. A valid driver's license may be required. By applying for this position with SBA's Office of Disaster Recovery and Resilience, you can enjoy challenging but satisfying work and join a highly motivated and diverse team that helps families and businesses rebuild their lives after a disaster. Additional selections may be made from this announcement if identical vacancies occur within 180 days from the closing date. This is not a bargaining unit position.

Requirements

  • U.S. citizenship is required.
  • You must be able to obtain and maintain a Government travel credit card.
  • Credit score below 500 may negatively impact consideration in the hiring process.
  • You may be required to complete a one-year probationary period.
  • Favorable background investigation and credit check are required.
  • This is not a bargaining unit position.

Qualifications

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. *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. If qualifying based on related unpaid (e.g. volunteer service) experience, you must provide hours worked per week and beginning/ending dates (mm/yyyy to mm/yyyy). You must meet all qualification requirements by the closing date of this announcement. Experience: To receive credit, you must indicate the month and year as well as the average hours worked per week for each employer. Average work hours must be stated on the resume to quantify each period of work experience or that experience will not be credited toward meeting the specialized experience requirement. You must address the specific specialized experience required for each grade level of this position on your resume or application or you will be rated "Ineligible" for that grade level. GS-13: To qualify you must have at least 1 full year (52 weeks) of specialized experience equivalent in difficulty and complexity to the GS-12 level in the Federal service that has equipped you with the particular knowledge, skill, and ability to perform successfully in this position. This experience may have been gained in a Non-Federal service position. In addition, this Specialized Experience must demonstrate the following: Working with large and complex data sets (big data) and performing extensive analysis of volumes of data through macros, and pivot tables. Working knowledge of data modeling, query authoring, and/or performance tuning with an understanding of data modeling best practices, and/or relational and graph databases. Using longitudinal databases or statistical analysis software platforms (e.g., R-Studio), or familiarity with Oracle database structures and queries using structured query language (SQL) and visual programming tools or SQL development tools, and/or other similar systems. Developing mathematical or statistical relationships that are new or significant departures from the relationships established in previous problems, studies, or investigations, which produce outcomes that are somewhat original in nature. Experience in developing, testing, experimenting, and advising on new technologies, methods, approaches, and guides.

Education

GS-13: There is no educational substitution at this grade level.

Additional information on the qualification requirements is outlined in the OPM Qualifications Standards Handbook of General Schedule Positions. It is available for your review on OPM's Qualifications website: Data Science Series 1560 (opm.gov)

Contacts

  • Address Disaster Data Analytics and Information Technology Division 409 3rd Street SW, Suite 6050 Washington, DC 20416 US
  • Name: Ebube Utomi
  • Email: [email protected]