APPLYONREQ" class="inputbutton" onclick="javascript:setEvent(event);requisitionapplyOnRequisition('requisitionDescriptionInterface','actApplyOnReq',ftlapi.lstVal('requisitionDescriptionInterface', 'requisitionDescriptionInterface.descRequisition', 'requisitionDescriptionInterface.ID1235', this),'application');return ftlUtil_followLink(this);"/> Data Scientist - DCCA - R025607 Primary Location : DC-Washington : Employee Status : Regular Overtime Status : Exempt Job Type : Standard Work Shift: : 1st Shift : : Relocation Provided: : Yes Compensation Grade Low: : FR PAY GRADE 25 Compensation Grade High: : FR PAY GRADE 26 Minimum Salary: : $111,400.00 Maximum Salary: : $166,400.00 Posting Date : May 5, 2026 Position Description Minimum EducationBachelor's degree or equivalent experienceMinimum Experience4SummaryContributes 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. Duties and ResponsibilitiesAssists with the collection and refining of data from multiple data sources. Gathers and transforms data from internal and external systems in a manner suitable for analysis.Works with large data sets to solve non-routine problems. Performs data analysis in support of ad-hoc and standing requests.Participates on analytical research projects as required. Uses statistical methodology, data manipulation, survey design, and research evaluation to support various projects.Uses analytic models and works with teams to integrate solutions.Assists with data studies and data discovery initiatives using existing and new data sources.Performs data quality tests to improve statistical inferences of variables across models.Visualizes and reports data findings using a variety of formats. Communicates findings through internal reports and executive summaries.Compiles, reviews, and assesses information from academic journals, market sources, and other reports to maintain state-of-the-art knowledge in data analysis techniques Position Requirements Knowledge/Skill Requirements The ideal candidate is someone with strong problem-solving, analytic and interpersonal skills, as well as a desire for continual learning. Core Technical SkillsProficiency in Python or R; experience with SQL and data extraction, transformation, and pipeline development.Knowledge of statistical methods, machine learning techniques, and model validation.Experience developing analytical applications, dashboards, or APIs and using software development best practices such as version control, testing, and documentation.Experience with data visualization tools and libraries such as Tableau, Power BI, Shiny, Plotly, ggplot2, or Matplotlib.Experience with GenAI coding assistants and experience integrating LLM APIs into applications.Knowledge of prompt engineering, RAG systems, or LLM fine-tuning.Familiarity with vector databases and semantic search. Professional SkillsStrong problem-solving, critical thinking, and analytical abilities.Strong written and verbal communication skills for technical and non-technical audiences.Ability to work independently, manage multiple priorities, and contribute to collaborative projects.Dedication to continual learning and adapting to new tools and technologies.Desire to innovate and proactively finds way to deliver results on new and complex projects. Domain KnowledgeTopical knowledge in consumer finance is preferred but not required. Relevant experience includes:Work with consumer financial data (credit reporting, mortgage, consumer loans)An understanding of financial services, banking regulations, or consumer protectionWork in a regulatory or policy-oriented environment 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 four 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 five years of experience in applied statistical data analysis, survey management or equivalent combination of training and 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. Note: The expected salary range for this role is $111,400 - $166,400, which spans all the posted grades. Final offers are based on the grade for which you minimally qualify for based on experience and education.A written exercise will be administered.Application Deadline: May 19, 2026, 11:59 PM ET We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, pregnancy, national origin, age, disability, genetic information, or application, membership, or service in the uniformed services. Req ID: R025607
