Fannie Mae is looking to solve complex business problems by leveraging data science and AI, driving innovation in the mortgage industry, and enhancing the delivery of business applications through advanced analytics and AI solutions.
Requirements
- 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
- Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
- In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
- Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
- Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
- Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar.
- Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
Responsibilities
- Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
- Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company’s mission.
- Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
- Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
- Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
- Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
- Direct the design of modeling applications to resolve complex or unusual business problems.
Other
- Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
- Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
- A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
- Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.
- Bachelor’s degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
