Senior Data Scientist – AI Developer (Flexible Hybrid)

Fannie Mae

At Fannie Mae, employees contribute to making homeownership a reality for millions, using cutting-edge technology to address housing industry challenges. The company is expanding its data science capabilities, focusing on advanced analytics and AI technologies. This role serves a vital function in developing AI solutions, driving innovation in business applications and analytics.

In this role you can expect to have the responsibilities:

• Collaborate with various teams to understand and address business needs using available data and capabilities.
• Implement and upgrade statistical modeling capacities.
• Enhance business applications with advanced analytics and integrate data with statistical models or algorithms.
• Design applications to support risk measurement, financial valuation, and business decisions.
• Create visualizations and documentation to communicate complex solutions effectively.

This role comes with the following benefits:

• Participation in Fannie Mae's incentive program.
• Comprehensive health, life, and lifestyle benefits.

This role requires you to have:

• Bachelor's degree in Computer Science, Data Science, or related field.
• Proficiency in Python, PyTorch, TensorFlow, and ML libraries.
• Experience with AWS/GCP platforms and data pipeline development.
• Hands-on knowledge of Generative AI and large language models.

You would benefit from having:

• Master's or PhD in quantitative fields.
• Experience with LLM fine-tuning and multi-agent systems.
• Skill in ontology design for GenAI applications.
• Experience in hybrid modeling combining classical ML and GenAI.

Fannie Mae is a flexible hybrid company offering office space for in-person work and remote opportunities. This roles supports a diverse and inclusive workplace, ensuring equal opportunity for all applicants. The position is part of Fannie Mae's broader commitment to diversity, inclusion, and accommodating employees with disabilities.