As part of the nation’s central bank, the Federal Reserve Bank of Richmond is committed to strengthening the economy and our communities. It’s a big job, and that’s why we need a variety of talented, results-driven professionals who care about making a difference. Sound like a challenge? You bet it is. That’s why three important values inspire our culture: Serve with integrity. Lead with courage. Perform with excellence.
At the Richmond Fed, our goal is not just to be an employer of choice; we want to be your employer of choice. One of the ways we do that is by offering a total rewards portfolio that includes more than compensation. Our total rewards includes thrift and retirement plans, generous paid time off, health and wellness benefits, insurance to protect you and your loved ones, work/life offerings, and a variety of professional development opportunities.
The Federal Reserve Bank of Richmond’s Information Technology Services (ITS) department has an immediate opening for an Intermediate Data Scientist to support one of ITS’ strategic business initiatives. As a member of a data science consulting team, the Data Scientist will play a key role on projects nationwide providing training and insight to teams seeking to perform data science work. The Data Scientist will work on engagements with teams across the Federal Reserve System eliciting business requirements and assisting in the design and build out of projects.


Federal Reserve System


Special Considerations

Candidate should review the FRB Employee Code of Conduct to ensure compliance with issues related to previous employment and prohibited financial interests. The Code is available on the About Us, Careers webpage at www.richmondfed.org. Apply online at www.richmondfed.org.
This position is based Washington D.C. and requires occasional travel to Richmond VA.
Please note that pursuant to a government contract, this specific position requires U.S. Citizenship.
Salary offered will be based on the job responsibilities and the individual’s knowledge, skills and experience as defined in the job qualifications/experience.
Essential Job Responsibilities (including but not limited to the following):
Develop a program to establish large-scale text corpora from unstructured documents and develop solutions that leverage text-mining and natural language processing methodologies to identify, extract and integrate contextual data and concepts in support of Federal Reserve’s supervision initiatives
Work with data engineer to define and build out the infrastructure required for the processing of large volume of text data
Explore cutting-edge techniques leveraging AI/ML in identifying topic themes and risk signals and make recommendation on methodology and algorithm
Prepare updates about key insights extracted from the text
Work cross-functionally to define problem statements, develop and integrate state-of-the-art text processing methods into our tools and analysis
Understand and implement memory management and computational best practices to efficiently handle Big Data
Communicate effectively with the ability to tailor the message based on the technical breathe of the audience
Be a self-starter, motivated by a passion for developing the best possible solutions to problems
Identify and implement streamlined processes for text data reporting and communication
Use analytical models to identify insights that are used to drive key decisions across the organization
Prepare metrics, trends, and other key indicators for senior leadership
Build and maintain data driven optimization models, experiments, forecasting algorithms and capacity constraint models
Assess information from academic journals, web posts, market sources, and other reports to maintain state-of-the-art knowledge
Prior experience with Natural Language Processing and Machine Learning algorithms
Experience coding and debugging deep learning neural networks for text processing in PyTorch, Keras, and/or TensorFlow
Experience developing and implementing methods for unsupervised identification of topics, detection of work similarity, document clustering, and text summarization
Strong written and spoken communication skills, with interpersonal skills to work with all levels of the organization
High level critical thinking and creative problem solving abilities
Strong attention to detail with a high level of data integrity and accuracy
Strong programming and statistical modeling skills
Proficient knowledge with a variety of analytical tools and techniques with the knowledge of when to use them
Preferred Requirements
1 years of hands-on experience analyzing and interpreting text data, drawing conclusions, defining recommended actions, and reporting results across diverse stakeholders
1 years of experience working with NLP and AI (including experience with TensorFlow or Keras)
1 years of experience with scripting in Python, C , or Java
1 years of experience with packages such as R, Tableau, SAS, etc.
1 years of experience working with High Performance Computing environments
Experience with Hadoop, Spark, or equivalent parallelization tools
Experience with SQL
Education And Experience
3 to 5 years of relevant work experience
Master’s Degree in Computer Science, Computational Linguistics, Mathematics, Statistics or related field; or equivalent experience
Seniority Level
Entry level

Information Technology & Services Banking Financial Services
Employment Type

Job Functions
Engineering Information Technology

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

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About Board of Governors of the Federal Reserve System

Board of the Governors of the Federal Reserve System is the main governing body of the Federal Reserve System.