Data Scientist

4 weeks ago

Washington, United States Federal Reserve Board Full time
Position Description

Minimum Education

Bachelor's degree or equivalent experience

Minimum Experience

4

Summary

Contributes to statistical and mathematical initiatives to predict future outcomes through the application of machine learning, natural language processing, and conceptual modeling. Uses existing algorithms to test hypotheses through careful and deliberate model design. Contributes to statistical analysis, modeling, and simulations that leads to actionable decisions. Applies statistical methods to characterize uncertainty using large, complex datasets. Utilizes data mining techniques to optimize decisions that support Division strategic objectives. Transforms data into actionable information.

Position Requirements

Selected candidate will become part of DCCA's Data Analytics (DA) Team, which supports all aspects of the Division's mission to promote a fair and transparent financial services marketplace and strengthen communities for all consumers. DA Data Scientists use a wide variety of financial, supervisory, community, economic, demographic, and geographic data to create multidimensional analytics and interactive data visualizations. Candidates will be asked to participate in data analysis and writing exercises.

Principal Duties and Responsibilities

  • Collect and combine data from multiple data sources.
  • Use data science techniques for data exploration and analysis performing statistical inference, and machine learning.
  • Participate on analytical research projects. Uses statistical methodology, data manipulation, survey design, and research evaluation to support various projects.
  • Contribute to data studies and data discovery initiatives using existing and new data sources.
  • Create interpretable visualizations using a variety of formats. Communicate findings through internal reports and executive summaries.
Knowledge/Skill Requirements

The ideal candidate is someone with strong problem-solving, analytic and interpersonal skills, as well as a desire for continual learning.
  • Proficient with analytical and statistical software packages such as R, Stata, or SAS.
  • Experience with programming languages such as Python, Java, or C++.
  • Experience extracting information from various types of databases using SQL and/or ODBC connections.
  • Experience using natural language processing (NLP) tools to analyze unstructured text data to extract information, conduct sentiment analysis and/or perform document classification.
  • Experience with visualizing/presenting data for stakeholders, using tools such as Tableau, RMarkdown, RShiny, ggplot2, and MatPlotLib.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage).
  • Experience in analyzing consumer financial data such as credit reporting, mortgage, and other consumer loan data.
  • Ability to use critical thinking and reasoning to make analytical determinations and solve complex problems.
  • Work must display an ability to provide in-depth analysis of complex issues with substantial creativity.
  • Strong communications skills for both technical and non-technical audiences.
Grade 25 Analysts:
  • Must demonstrate knowledge and competence in the application of theoretical and quantitative techniques in Data Science, Statistics, Mathematics, Computer Science, or other quantitative discipline typically achieved by completion of a bachelor's degree plus two years of experience in applied statistical data analysis, survey management or equivalent combination of training and experience.
  • Works with a moderate level of direct oversight.
  • Work output typically contributes to published reports, policy memoranda, or broader division initiatives planned by senior management.
  • Strong interpersonal skills needed to interact with outside contacts and other organizations.
Grade 26 Analysts:
  • Must demonstrate knowledge and competence in the application of advanced theoretical and quantitative techniques in Data Science, Statistics, Mathematics, Computer Science, or other quantitative discipline typically achieved by completion of a master's degree plus three years of experience in the field of banking, finance, supervision, or statistics (or equivalent work experience).
  • Works with a high degree of independence in planning, organizing, and completion of work products.
  • Work output contributes to the planning and organizing of the section's work, independently anticipating issues requiring further analysis, and transmits technical analysis and policy judgments to senior leadership.
  • Strong interpersonal skills needed to interact with outside contacts, professional organizations, and may represent the Board at System meetings/conferences.
  • Reviews the work of others for technical soundness and accuracy.


The Division of Consumer and Community Affairs (DCCA) has resumed an in-office presence. Our flexible hybrid work environment requires employees to be physically present in the office a minimum of 4 days per month. This includes a monthly connection day (on a Wednesday). On occasion, DCCA employees may be expected to be physically present in the office more than 4 days per month, as required by business needs, but can work remotely the remaining days.

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