Data Science Advisor

Fannie Mae

Data Science Advisor at Fannie Mae applying data mining and predictive modeling for housing finance. Collaborating with teams to develop strategic insights and enhance decision-making across products and initiatives.

Posted 7/14/2026full-timeWashington, DC • District of Columbia, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $155,000 - $209,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced analytic capabilities in data science and predictive analytics, with a strong focus on risk management and financial valuation. Proven ability to communicate complex technical concepts effectively to diverse stakeholders and deliver actionable insights that drive strategic business decisions.

Highest-signal resume keywords

Data SciencePredictive AnalyticsGenerative AIMachine LearningRisk Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical ModelingOptimization TechniquesData VisualizationEconomic AnalysisRisk Analysis

Soft Skills

Communication SkillsLeadershipInfluencing SkillsCollaboration

Tools & Technologies

Knowledge GraphsRAG SystemsWorkflow Automation

Certifications & Qualifications

PhD in Data ScienceMasters in EconomicsMasters in MathMasters in Statistics

Industry Keywords

Multifamily Credit RiskReal Estate FinanceMortgage FinanceFixed IncomeStructured Products

About the role

Key responsibilities & impact

Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
Develop and advise on the implementation of new statistical modeling capabilities to solve technical business problems and inform the team's technical direction.
Apply and develop advanced analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
Apply extensive knowledge of practices in research and testing for product development, deployment, and maintenance.
Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
Design data visualizations, technical documentation, and non-technical presentation materials to communicate new ideas and high-impact solutions to business partners
Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or workpapers

Requirements

What you’ll need

6 years of relevant experience in data science, predictive analytics, optimization, product management functions
2+ years of hands-on experience in generative AI, machine learning, knowledge graphs and RAG systems and workflow automation
5+ years of leadership experience building, coaching, and leading high-performing, supporting complex, multi-stakeholder programs in a regulated or governance-driven environment
Proven track record of conducting independent economic and risk analysis or research.
Delivering actionable insights that drive business and strategic decisions with measurable outcomes.
Strong understanding of risk management, multifamily credit risk, real estate and mortgage finance, fixed income and structured products, statistics and optimization techniques.
Management-level communication and influencing skills, with the ability to advise executives and senior stakeholders, challenge assumptions, and explain technical ideas clearly to non-technical audiences.
PHD or Masters in Data Science, Economics, Math, Statistics, or a related field

Benefits

Comp & perks

Health, Life, and Voluntary Lifestyle benefits
Flexible work arrangements