Job Description
Who we are:
Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call “The Makpar Way,” we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people.
Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services.
When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers.
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.
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
• 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.
Preferred Qualifications
• 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:
At Makpar Corporation we understand that we all need to balance work and life – that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals.
Start your career today and be a part of something meaningful!
Makpar is an Equal Opportunity Employer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
