NCUA · 2 days ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

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Responsibilities

Define, recommend, and implement metrics, reporting and assessments for ongoing monitoring and challenge of data quality control.

Identify and perform necessary ad-hoc analysis to aid data quality enhancement efforts with ONES credit unions.

Consult and act on data analysis requests to conceptualize and define data modeling requirements.

Construct automated data pipelines for a wide variety of analytical uses by the team's users.

Utilize R or Python to develop regular and ad-hoc analysis, research, and surveillance reports.

Develop programmatic solutions to automate complex analytical tasks, including interaction with financial analysis software packages.

Perform financial and statistical modeling, financial institution stress testing or income forecasting.

Develop and instruct educational programs and classes on data-related topics for staff and other NCUA internal groups.

Qualification

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Data Quality ReviewAnalytical Datasets DesignReporting Products DevelopmentAutomation of Analytical ProcessData ModelingPythonRMetrics DefinitionData ScrubbingData CleansingData OrganizationData AggregationData ValidationFinancial AnalysisModel DevelopmentPolicy ResearchAutomated Data PipelinesRegular AnalysisAd-hoc AnalysisResearch ReportsSurveillance ReportsProgrammatic SolutionsFinancial ModelingStatistical ModelingStress TestingIncome ForecastingEconomic ForecastingEducational Programs Development

Required

Experience in leading data quality review development, analytical datasets design, reporting products development, automation of analytical process, data modeling and analytics

Proficiency in Python or R for data analysis and automation

Ability to define, recommend, and implement metrics, reporting and assessments for data quality control

Experience in data scrubbing and cleansing specific to business requirements, modeling needs, and analytical tool specifications

Ability to work with large and complex data systems to organize, aggregate, prepare and validate data for financial analysis, business applications, model development, and policy research

Experience in constructing automated data pipelines for analytical uses

Proficiency in developing regular and ad-hoc analysis, research, and surveillance reports using R or Python

Capability to develop programmatic solutions to automate complex analytical tasks

Experience in financial and statistical modeling, stress testing, income forecasting, and economic forecasting

Ability to develop and instruct educational programs on data-related topics for staff and external groups