Senior Data Scientist / Risk Modeling Analyst

New

Remote, US-BasedFull-TimeSenior

Salary not disclosed

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Job Details

Bachelor’s degree or higher in accounting, mathematics, engineering, finance, economics, data science, or related discipline.
Demonstrated experience using scientific methods, processes, algorithms, and systems to extract or extrapolate insights from structured and unstructured data.
Demonstrated experience applying data insights across application domains.
Demonstrated experience using automation and scripting techniques.
Demonstrated experience presenting results to management and non-technical personnel.
Specialized experience with Tableau, R programming, Python 3, and VBA.
Experience with risk models, scoring models, health scoring, compliance analytics, or audit analytics.
Experience supporting cybersecurity, GRC, FISMA, NIST, or federal compliance programs.
Experience building dashboards for executive or government stakeholder decision-making.
Experience validating automated outputs against manual review or SME judgment.
Experience with Excel macros, data quality controls, and traceability of formulas.

Build enhancements and maintain risk models supporting review selection.
Maintain data fields, code, scripts, formulas, and macros used to analyze review findings and risk model outputs.
Support Health Score calculations and weighted risk factor evaluations.
Aggregate and evaluate data to identify at-risk agency partners.
Manually validate automated risk rankings and data outputs.
Develop and maintain risk dashboards showing findings, risk levels, rankings, remediation status, and historical trends.
Prepare materials for quarterly risk team meetings and support action-item tracking.
Present analytic results to management and non-technical stakeholders.

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