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  • Emplois similaires à : Scientist (m/f/x) CPV, Comparability, and Statistics
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Computer and Information Research Scientist (Data Scientist equivalency) (SENIOR)eTelligent GroupUnited States
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Computer and Information Research Scientist (Data Scientist equivalency) (SENIOR)

eTelligent Group
  • US
    United States
  • US
    United States

À propos

Data Scientist / Risk Modeling Lead
Leads the data-science and risk-analytics workstream supporting Safeguards' risk-based review selection. Builds and maintains the models, scripts, and dashboards that rank partner agencies by risk and inform which agencies are selected for review. Key responsibilities include: Maintain and operate data fields, code, and scripts that analyze review-finding data and its relationship to Risk Model outputs and Health Score calculations. Revise and maintain formulas and macros that provide weighted evaluations of risk factors. Perform data aggregation to identify the most "at-risk" agency partners, including manual validation of automated rankings. Develop and maintain the Risk Dashboard — findings, risk levels, rankings, remediation status, and historical trends — with clear visualizations for the Risk Team. Support the Quarterly Risk Team Meetings and maintain the Risk Support Work Plan. Core experience required: Demonstrated experience applying scientific methods, processes, algorithms, and systems to extract or extrapolate insights from structured and unstructured data across multiple application domains. Demonstrated use of automation and scripting techniques. Experience presenting analytic results to management and non-technical personnel. Minimum education: Bachelor's degree or higher in accounting, mathematics, engineering, finance, economics, and/or data science from an accredited college or university. Specialized skills required: Tableau R programming Python 3 VBA Commitment to diversity - eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.
  • United States

Compétences linguistiques

  • English
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