[Hiring] Senior Data Scientist / Risk Modeling Analyst @Makpar

Role Description

The Senior Data Scientist will support the Safeguards risk-based review selection process. This role will maintain and enhance risk models, health score calculations, data fields, scripts, macros, dashboards, and analytics used to identify the most at-risk agency partners and support review prioritization.

• 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.

Qualifications

• 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.
• Ability to complete IRS suitability / staff-like access requirements.

Requirements

• 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.

Benefits

• Great benefits package.
• Excellent training and career development opportunities.
• Flexible work schedules.
• Generous compensation package.
• Outstanding benefits that promote employee happiness, health, and engagement.