Data Science Advisor

Fannie Mae

Data Science Advisor developing AI-enabled audit solutions at Fannie Mae. Collaborating across teams to improve risk measurement and enhance decision-making.

Posted 6/5/2026full-timeReston • Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $155,000 - $209,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSPython

About the role

Key responsibilities & impact

Partner across Audit, Technology, and platform teams to build a unified Audit platform with reusable data, analytics, automation, GenAI services, model operations, secure delivery, and enterprise controls.
Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction.
Design, test, and validate audit solutions using advanced data science methods aligned with audit standards and methodology.
Apply data science to improve risk measurement, valuation, decision-making, and business performance.
Create technical strategies and executive-ready materials that communicate high-impact solutions to leaders and stakeholders.
Provide thought leadership on applying advanced analytics and data science to business challenges.
Build solutions for continuous monitoring, risk detection, automated evidence generation, and deeper insights.
Assess model effectiveness and fitness for use, ensure testing and monitoring, and explain key drivers and limitations.
Lead cross-functional teams through the model lifecycle, aligning changes with business goals.
Stay current on industry practices, regulations, and internal standards to ensure compliance and escalate issues as needed.
Advise senior leaders on priorities, balancing accuracy, speed, cost, and governance.
Support the Model Owner and Lead Model User in building consensus, prioritizing requirements, testing changes, resolving findings, and sharing best practices.
Drive continuous improvement in modeling and analytics while promoting accountability, transparency, and proactive model risk management.
Represent the Analytics team in internal forums, regulatory settings, and industry conferences, sharing best practices and thought leadership.

Requirements

What you’ll need

6 years of related experience in data science, machine learning, and AI solution development, including GenAI workflows.
Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field.
Advanced proficiency in Python and core data science and machine learning techniques.
Experience building end-to-end data science solutions using AWS data services such as Redshift, Athena, S3, and AWS Data Wrangler.
Strong analytical skills to support testing, validation, model assessment, and business decision-making.
Strong communication skills, including the ability to explain technical concepts and solutions to non-technical partners and stakeholders.
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
PhD in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field, or equivalent additional experience is desired.
Experience in Internal Audit, Risk Management, Model Risk Management, or other highly regulated environments is desired.
Experience applying advanced data science methods such as regression, SVM (support vector machines), random forests, and neural networks is desired.
Strong technical writing, presentation, and executive stakeholder communication skills are desired.
Proven ability to influence and collaborate across cross-functional teams, including Audit, Technology, AI, and Risk partners is desired.
Experience with AI engineering tools and patterns, such as Anthropic or OpenAI models and tool-calling frameworks is desired.

Benefits

Comp & perks

Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance physical, mental, emotional, and financial well-being.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencemachine learningAI solution developmentGenAI workflowsPythonregressionSVMrandom forestsneural networksadvanced analytics

Soft Skills

analytical skillscommunication skillscuriosityadaptabilitytechnical writingpresentation skillsinfluencecollaborationthought leadershipproblem-solving

Certifications

Master's degree in Data ScienceMaster's degree in EconomicsMaster's degree in MathematicsMaster's degree in StatisticsMaster's degree in Computer SciencePhD in Data SciencePhD in EconomicsPhD in MathematicsPhD in StatisticsPhD in Computer Science