Data Science Analyst

March 25

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Fannie Mae

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Fannie Mae is a government-sponsored enterprise that serves homebuyers, homeowners, and renters by creating solutions to expand equitable access to affordable housing. It supports lenders in providing affordable mortgages for single-family and multifamily housing. Fannie Mae also offers educational resources for homeownership and financial literacy, including tips on managing financial uncertainty and understanding mortgage options. Furthermore, the company is involved in capital markets to reduce risk and enhance housing finance liquidity, as well as engaging in initiatives for sustainable bonds and environmental, social, and governance (ESG) efforts.

Mortgage • Processing • Securitization • Financial Services

5001 - 10000 employees

Founded 1938

💸 Finance

🏠 Real Estate

📋 Description

• As a Data Science Analyst III, you will act as team lead to produce insights, new product or change recommendations, process improvement or automation, and predictive modeling. • Applies a variety of data mining, data analysis, statistical, and econometric methods to deploy new analytical capabilities and applications. • Partners with and coordinates existing data engineering and data management teams. • Applies data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets. • Coaches and mentors less experienced associates. • Coordinates product/business owners across divisions or product lines, data engineers, and platform teams to define needs and advise on current capabilities, data availability and alternative uses. • Leads the implementation of new statistical modeling capabilities requiring the coordination of multiple processes, systems, or stakeholder groups. • Uses advanced predictive analytic capabilities to enhance the delivery of business applications to support the integration of data and statistical models or algorithms. • Applies new or novel practices in research and testing to product development, deployment, and maintenance. • Assesses the complexity of the business challenge and designs tailored solutions. • Designs new analytic applications to support risk measurement, financial valuation, decision making, and business performance. • Applies machine learning experience to enhance operational efficiencies and solve complex business problems. • Designs data visualizations, technical documentation and non-technical presentation material to communicate new ideas and high-impact solutions to business partners.

🎯 Requirements

• Bachelor's degree or Equivalent