Virtual Career Fair - Government Agencies

Wednesday, February 9, 2022 - 12 noon - 1:30 pm ET

[Please Note: This session has already occurred.  Go to the News Story  to read about what happened.] 

Government institutions have a unique mission when it comes to the data they collect as well as the importance of the research they engage in.  This research becomes the principle foundation for informing policy issues that impact all aspects of society. 

What is it like to work as a statistician in a government agency?  What kinds of opportunities are there for data scientists in the federal government?

More importantly, how do you prepare yourself for obtaining a position?

Once again, NISS will be gathering senior statisticians who bring extensive experience working in the federal government.  In addition, these individuals have graciously made it a priority to share their experiences so that others may better understand and be better prepared for working for a federal agency. 

Each presenter will have 15 minutes to address the following general topics:

  1. What are the job opportunities for statisticians/data scientists/analysts in your agency?
  2. Describe the range of skills statisticians/data scientists/analysts need to succeed in your agency?
  3. What is the career path for statisticians/data scientists/analysts in your agency?
  4. Is your agency currently hiring statisticians/data scientists/analysts?
  5. What advice would you give to students based on your experience?

This is not a session to be missed!


Jeffery Gonzales, Economic Research Service (ERS)

Victoria Bryant, Internal Revenue Service (IRS)

IRS Pathways | Interns & Recent Graduates
Research, Applied Analytics, & Statistics (RAAS)


Daniel Friel, Bureau of Labor Statistics (BLS) 

The Career Fair will be conducted using Zoom.   


REGISTER NOW on Eventbrite!


About the Speakers

Jeff Gonzalez is a research mathematical statistician in the Food Assistance Branch of the Food Economics Division. He is currently leading the survey and data development efforts for the Second National Food Acquisition and Purchase Survey (FoodAPS-2). His research interests include modular survey designs, responsive/adaptive designs, respondent burden, and nonresponse bias. Jeff joined the Economic Research Service in December 2019. Prior to joining ERS, Jeff was a mathematical statistician at the U.S. Bureau of Labor Statistics. Jeff worked on various aspects of the statistical and survey methodology for its national surveys on employee compensation and working conditions. He also conducted research for the redesign efforts for the Consumer Expenditure Survey. Jeff received his PhD in Survey Methodology (with a Statistical Science concentration) from the Joint Program in Survey Methodology at the University of Maryland – College Park. He also has an MS in Biostatistics from the University of Michigan and a BS in Biostatistics from the University of North Carolina at Chapel Hill.

Victoria Bryant is currently the Acting Associate Director for the Statistics of Income Division under the Research, Applied Analytics, and Statistics Business Unit of the Internal Revenue Service (IRS), where she has been for the past 15 years.  In addition to her current SOI leadership role, she is actively engaged in the creation of a fully synthetic Public Use File, the development of the Standard Application Process, and numerous research studies on the impact of retirement savings tax expenditures on individual participation.  Throughout her career she has collaborated extensively with both government and non-government researchers across the globe on topics including intergenerational income mobility and poverty, and advanced statistical methodology.  She was also instrumental in standing up the Joint Statistical Research Program, which received the 2021 Roger Herriot Award for Innovation in Federal Statistics.  She received her BA in Economics from Virginia Tech, her MA in Economics from George Mason University, and her PhD in Public Policy also from George Mason University.


Danny Friel is a research mathematical statistician in the Office of Compensation and Working Conditions (OCWC) at the U.S. Bureau of Labor Statistics (BLS). As a technical expert in statistical methodology, he works on initiatives to improve OCWC statistical outputs, develop new sampling and estimation techniques, and share findings with the partners in other offices, agencies, and research groups. Before joining BLS, he worked as a monitoring and evaluation expert for non-profit organizations and held research positions at the U.S. Government Accountability Office and the City of San Francisco. He is a graduate of the Goldman School of Public Policy at University of California, Berkeley.

Event Type


National Institute of Statistical Sciences


National Institute of Statistical Sciences




Online Webinar
Moderator: Daniel Friel (BLS) Speakers: Jeffery Gonzales, Economic Research Service (ERS) and Victoria Bryant, Internal Revenue Service (IRS).