Maintain and enhance risk models, data fields, code, and dashboards to identify at-risk agency partners. Calculate health scores, validate automated rankings, aggregate and analyze findings, prepare materials for risk meetings, track action items, and present results to management and non-technical stakeholders.
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.
• 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.
• 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.
Similar Jobs
Consumer Web • eCommerce • Internet of Things
Lead product marketing for DNSid: define positioning, messaging, buyer personas, and GTM. Create sales enablement, launch plans, customer stories, and competitive insights. Partner cross-functionally to translate technical innovation into commercial value and establish repeatable launch and enablement processes to drive adoption.
Top Skills:
AICloudCybersecurityDeveloper PlatformsIdentity
Enterprise Web • Fintech • Payments • Software • Financial Services
Lead technical presales for Narmi's commercial banking platform: assess prospect needs, deliver tailored demos, map product solutions, coordinate with product/implementation/customer success, manage multiple enterprise deals, and use technical knowledge to demonstrate business value and close sales.
Top Skills:
CSSDigital Banking PlatformsHTMLJavaScriptNarmi
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Design and build scalable, automated evaluation pipelines and infrastructure to validate speech, audio, and multimodal models. Translate research benchmarks into enforceable pass/fail gates, run batch and streaming tests, operate canaries and continuous monitoring, integrate quality gates into CI/CD, and partner with research, training, inference, and infra teams to prevent regressions and ensure production model quality.
Top Skills:
Agent FrameworksAnomaly DetectionCi/CdContainersDockerGoGpu ClustersGrafanaKubernetesLlmsMultimodal ModelsPythonRagReact NativeRust
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
