Fannie Mae is looking to hire a Director of Data Science & Artificial Intelligence (AI) to lead a team that produces insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. The role aims to expand access to homeownership and affordable rental housing across the country by leveraging data science and AI.
Requirements
- 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.
- Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
- Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
- Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
- Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
- Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered.
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.
- Bachelor’s degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
- For most roles, employees are expected to work onsite on a regular basis at their designated office location.
