Data Science Analyst

Job not on LinkedIn

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

WebsiteLinkedInAll Job Openings

Finance • Real Estate

Fannie Mae is a leading source of financing for mortgage lenders, providing access to affordable housing for homebuyers, homeowners, and renters across the United States. The company offers a range of financial products and services, including single-family and multifamily financing options, to support housing markets nationwide. Fannie Mae aims to ensure that families of all income levels have opportunities to secure safe, quality housing while maintaining financial stability. It plays a crucial role in enhancing housing finance liquidity and reducing risk within the housing market, contributing to the overall economic wellbeing of communities.

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