Senior Data Scientist – AI Developer (Flexible Hybrid)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to use tech to tackle housing’s biggest challenges and impact the future of the industry. You’ll be a part of an expert team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

Fannie Mae is expanding its Data Science talent to further push the frontiers of modeling, AI and advanced analytics.  Are you passionate about advanced analytics algorithms, AI techniques and about creating new AI solutions and technologies? Do you have creative and innovative approaches to developing new AI products?  We’re seeking data scientists who have domain knowledge or an interest in Generative AI, large language models, machine learning, natural language processing, image processing and an interest to apply it to solve the most complex problems in business. 

If you are ready for an exciting opportunity working hands on with the world’s most advanced data science technologies and thrive in a super dynamic environment where you are being counted on to develop advanced analytics and AI products, this role is for you:

THE IMPACT YOU WILL MAKE
The Senior Data Scientist – AI Developer 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:

• Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
• Implement new statistical modeling capabilities.
• Apply analytic capabilities and build upon advanced analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms. Apply industry practices in research and testing to product development, deployment, and maintenance.
• Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
• Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

• 2 years of relevant experience in building large scale machine learning or deep learning models and/or systems 
• Bachelors degree in Business Analytics, Computer Science, Data Science, Engineering Finance, Math, Physics, Statistics, or a related field
• Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytic, generative AI, symbolic AI, causal AI, operations research, computer science, Mathematics, business analytics, or knowledge management
• Demonstrated experience programming with R / Python, Linux, and Spark in AWS cloud environment, or knowledge and algorithmic design experience in Python (3+ years)
• Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow
• Experience with image processing models such as Coco, CLIP, ResNet or comparable models
• Demonstrated experience with machine learning techniques including natural language processing, and Large language Models (GPTv4-o1, o3, OpenAI APIs, Llama, Claude, etc).
• Experience developing AI agents and development proficiency using agentic programming
• Proficient in Natural language processing (NLP) and Natural language generation (NLG) including prior projects in any of the following categories: top modeling of text, sentiment analysis of text, part of speech tagging, Name Entity Recognition (NER), Bag of Words, text extraction
• Experience building and working with any of these components: Vector DB, BERT, RoBERTa (or comparable tools), Spacy, LLM and GenAI tools
• Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs.
• Strong skills in developing GraphRAG, Chain of Thought (CoT), Tree of Thought (ToT), Reinforcement learning and AI development architectures with Human-in-the-Loop (HITL)
• Demonstrated experience with SQL and any relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive, etc.
• Demonstrated experience processing structured and unstructured data sources, data cleansing, data normalization and prep for analysis
• Demonstrated experience with code repositories and build/deployment pipelines, specifically Jenkins