Data Science Technical Writer (Flexible Hybrid)

Company: The Fannie Mae
Location: Washington
Posted on: March 22, 2025

Job Description:

Data Science Technical Writer (Flexible Hybrid)

• Full-time
• Target Hiring Range (1): 107000
• Target Hiring Range (2): 139000At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.As a valued colleague on our team, you will provide expertise and guidance to team members who prepare instruction manuals, how-to guides, articles, and other supporting documents to communicate complex and technical information more easily.THE IMPACT YOU WILL MAKEThe Data Science Technical Writer (Flexible Hybrid) 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:
  • Organize and implement processes for maintaining information about technical products, policies, or other elements.
  • Lead the team in developing, and conduct reviews of, documents that translate technical information into non-technical terminology.
  • Organize and create documentation for maintaining information about Data Science Models (traditional and AIML).
  • Collaborate with model stakeholders (users, owners, developers) to ensure documentation meets their needs.
  • Revise existing documentation as needed to ensure it meets Fannie Mae standards.THE EXPERIENCE YOU BRING TO THE TEAMMinimum Required Experiences
    • 4 years of relevant experienceSkills
      • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
      • Communication, particularly in writing
      • Experience gathering accurate information to explain concepts and answer critical questionsDesired Experiences
        • Bachelor's degree or equivalent
        • Experience with Data Science or modeling of any kind
        • Ability to frame ideas as systems and analyze inputs, outputs, and processes
        • Adept at managing project plans, resources, and people to ensure successful project completion
        • Programming skills including coding, debugging, and using relevant programming languages
        • Experience with how applications are implemented, tested, and maintained
        • Skilled in graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI
        • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understandThe future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.Fannie Mae is an Equal Opportunity Employer, 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 careers_mailbox@fanniemae.com.The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
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