Data Scientist

As a Data Scientist you will:

• Independently develop research studies analyses and projects that affect the programs and policies of the Bureau of the Fiscal Service (BFS) and other government agencies.
• Generate insights from evaluating situational operational and behavioral data through the intersection of statistical computational and contextual domains.
• Execute and control projects that represent an important segment of the agencys operating programs and/or projects.
• Provide consultation to key personnel inside and outside of government including to Federal Reserve Banks and senior executives from major organizations and corporations involved in using federal financial data and doing business with the government.
  

• All newly appointed employees to the competitive (or excepted) service are subject to a probationary (or trial) period. During this time your performance conduct and suitability for continued employment will be evaluated. You will not automatically convert to permanent status at the end of the probationary (or trial) period. Your supervisor must affirmatively determine that continued employment is in the best interest of the Federal service. If no certification is made before the probationary (or trial) period ends your appointment will be terminated. You are encouraged to actively engage with your supervisor seek feedback and understand role expectations. Additional guidance and support will be provided during onboarding.
• Complete a Declaration for Federal Employment to determine your suitability for Federal employment at the time requested by the agency.
• Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer.
• If you are a male applicant born after December 31 1959 certify that you have registered with the Selective Service System or are exempt from having to do so.
• Go through a Personal Identity Verification (PIV) process that requires two forms of identification from the Form I-9. Federal law requires verification of the identity and employment eligibility of all new hires in the U.S.
• Obtain and use a Government-issued charge card for business-related travel.
• File a Confidential Financial Disclosure Report within 30 days of appointment and annually from then on.
• This position requires that the successful candidate undergo personnel vetting which includes a background investigation and enrollment upon onboarding into Continuous Vetting. Enrollment in Continuous Vetting will result in automated record checks being conducted throughout ones employment with Treasury. The successful candidate will also be enrolled into FBIs Rap Back service which will allow Treasury to receive notification from the FBI of criminal matters (e.g. arrests charges convictions) involving enrolled individuals in near real-time. For more information about individual rights Noncriminal Justice Applicants Privacy Rights - FBI FD-258 Privacy Act Statement - FBI and ().

Key Requirements:

1. Please refer to Conditions of Employment.
2. Click Print Preview to review the entire announcement before applying.
3. Must be U.S. Citizen or U.S. National

You must meet the following requirements by the closing date of this announcement.

The experience may have been gained in either the public private sector or volunteer service. One year of experience refers to full-time work; part-time work is considered on a prorated basis. To ensure full credit for your work experience please indicate dates of employment by month/day/year and indicate number of hours worked per week on your résumé.


SPECIALIZED EXPERIENCE: For the GS-14 you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized Experience for this position is defined as:

Designing developing implementing or modernizing advanced data science machine learning or artificial intelligence solutions to address complex organizational or mission requirements
AND
Applying statistical methods predictive modeling machine learning natural language processing generative artificial intelligence or other advanced analytical techniques to complex datasets to produce actionable insights recommendations or decision-support products
AND
Providing technical guidance or consultation to senior leaders program officials technical teams or business stakeholders on data science and artificial intelligence strategies methodologies solutions performance or associated technical risks