Data Science Director

4 weeks ago

Washington, Washington, D.C., United States Fannie Mae Full time

About Us

Fannie Mae is a leading provider of mortgage financing solutions, committed to making homeownership possible for millions of Americans. We're dedicated to innovation and excellence in data science and AI.

Job Summary

We're seeking a highly skilled Data Science Director to lead our team of data scientists and AI developers in driving business success through innovative data-driven solutions. As a key member of our organization, you'll be responsible for developing and deploying AI capabilities, Generative AI solutions, and predictive analytics to enhance the delivery of business applications.

Responsibilities

  • Lead a team of data scientists and AI developers to design and implement advanced AI solutions from inception to production.
  • Drive advancements in AI, shaping the future of AI in the mortgage industry and supporting Fannie Mae's mission.
  • Collaborate 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 computer science, computational science, and statistics disciplines.
  • Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, and predictive analytic capabilities.
  • Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.

Requirements

  • 8+ years of experience in AI, data science, or related fields, with a proven track record of delivering solutions to production.
  • Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing 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.
  • 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.

Preferred Qualifications

  • Master's degree or Ph.D. in computer science, mathematics, statistics, engineering, physics, or related field.
  • Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the financial sector.
  • Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
  • Ideal 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
  • Extensive proven experience in data science, expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG).

Salary Range

The estimated salary for this role is $**175,000 - $225,000 per year**, depending on qualifications and experience. This is a competitive range based on national averages for similar positions.

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