Enterprise Innovation - Data Science - Senior Associate

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Job description

Company Description

TECH

At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nations housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.

Job Description

As a valued colleague on our team, you will use moderately complex techniques to produce insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will use data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving skills, and have an ability to articulate solutions to non-technical consumers or partners. As a senior associate, you will partner with data engineering and data management teams, and apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.

THE IMPACT YOU WILL MAKE

Responsibilities

The Enterprise Innovation - Data Science - Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities

• Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
• Implement new statistical modeling capabilities.
• Apply predictive analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
• Apply industry practices in research and testing to product development, deployment, and maintenance.
• Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
• Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.
  

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 2 years
  

Desired Experiences

• Bachelor degree or equivalent
  

Additional Information

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at .

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