Posted at: 7 July
Senior Data Scientist / Risk Modeling Analyst
Company
Makpar Corporation
Makpar Corporation is a Centreville, VA-based B2G IT solutions provider specializing in professional and technical services for the U.S. federal government, focusing on IT modernization, cybersecurity, and cloud migration.
Remote Hiring Policy:
Makpar Corporation is a 100% remote company hiring exclusively from the United States, with team members located across the country. Collaboration occurs across various time zones (UTC-5 to UTC-8).
Job Type
Full-time
Allowed Applicant Locations
United States
Job Description
Key Responsibilities
• 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.
Required Qualifications
• 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.
Preferred Qualifications
• 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.