Data Science Advisor

Playing an essential role in the U.S. economy Fannie Mae is foundational to housing finance. Here your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description

As a valued contributor to our Internal Audit team you will serve as a coach mentor and subject matter expert advancing products and initiatives through insights recommendations process improvement automation and predictive modeling. You will apply expertise in data science machine learning AI large-scale data processing computational programming and practical problem solving while clearly explaining technical solutions to non-technical partners and stakeholders. As an advisor you will partner across Audit Technology Enterprise AI data science and risk to architect reusable products on a unified platform that delivers AI-enabled capabilities for stronger risk detection continuous monitoring evidence generation and control-risk reporting. You will also help shape the organizations strategy for applying AI and data science to deliver insights and sound business addition you will provide expert guidance on well-governed models and analytical tools partnering with senior leadership to advance business and AI transformation and innovation.

THE IMPACT YOU WILL MAKE

The Data Science Advisor role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities:

• 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.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 6 years of related experience in data science machine learning and AI solution development including GenAI workflows.

• Masters 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.

Desired Experiences

• PhD in Data Science Economics Mathematics Statistics Computer Science or a related field or equivalent additional experience.

• Experience in Internal Audit Risk Management Model Risk Management or other highly regulated environments.

• Experience applying advanced data science methods such as regression SVM (support vector machines) random forests and neural networks.

• Strong technical writing presentation and executive stakeholder communication skills.

• Proven ability to influence and collaborate across cross-functional teams including Audit Technology AI and Risk partners.

• Experience with AI engineering tools and patterns such as Anthropic or OpenAI models and tool-calling frameworks.

Internal Audit Data Science - Advisor

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Qualifications

Education:

The future is what you make it to be. Discover compelling opportunities at most roles employees are expected to work onsite on a regular basis at their designated office -office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race color religion sex national origin disability age sexual orientation gender identity/gender expression marital or parental status or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to skill set depth of experience certifications and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package Fannie Mae offers a broad range of Health Life Voluntary Lifestyle and other benefits and perks that enhance an employees physical mental emotional and financial well-being. See more here.

Requisition compensation:

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