Data Science Technical Writer (Flexible Hybrid)

The Data Science Technical Writer at Fannie Mae is responsible for organizing and creating documentation for maintaining information about Data Science models. This includes leading the development of instruction manuals, how-to guides, and articles that translate complex technical information into easily understandable language. They also collaborate with stakeholders to ensure that documentation meets user needs and revise existing documents to maintain compliance with Fannie Mae's standards.

To qualify for the Data Science Technical Writer role at Fannie Mae, candidates should have a minimum of four years of relevant experience, particularly in effective communication and collaboration with cross-functional teams. A bachelor's degree or equivalent experience is desired, along with familiarity in Data Science, project management, and essential programming skills. Prior experience in graphical representation of information using tools like Excel or Tableau is also highly beneficial.

At Fannie Mae, Data Science Technical Writers work within a collaborative and inclusive team environment. They engage closely with model stakeholders, including users and developers, facilitating an ongoing dialogue to ensure that documentation is relevant and useful. The team approach encourages feedback and collective problem-solving, enabling writers to enhance documentation based on real-world usage and insights.

As a Data Science Technical Writer at Fannie Mae, you can expect a flexible hybrid work environment that balances remote work with in-office collaboration. The culture promotes inclusivity, innovation, and growth, making it a supportive space for you to thrive and contribute to meaningful missions in the housing industry.

Absolutely! Fannie Mae is committed to fostering career development for its employees. As a Data Science Technical Writer, you'll have opportunities to expand your skill set, take on new challenges, and advance within the organization. The company values continuous learning and personal growth, making it a great place to build a fulfilling career.

When answering this question, focus on specific examples where you created documentation for Data Science projects. Highlight the tools you used, the target audience, and how you ensured the material was accurate and accessible. Emphasize your ability to translate technical information into understandable content.

Share your strategy for working with technical experts to extract detailed information while promoting open communication. Demonstrating your respect for their expertise and your ability to facilitate discussions will show your collaborative skills and your commitment to accurate documentation creation.

Discuss the various documentation tools you are familiar with, such as Markdown, Confluence, or GitHub, as well as any visualization tools like Tableau that you've used to enhance your documentation. Emphasize how these tools help you deliver high-quality results efficiently.

Your answer should highlight a specific instance where you took intricate technical data and distilled it down into easily digestible content. Discuss your thought process, the revisions you made, and the feedback you received from users to reinforce the impact of your work.

Mention your methods for researching and staying current on Data Science trends, such as participating in workshops, taking courses, attending conferences, or following influential figures in the field. Showing your commitment to continual learning demonstrates your dedication to high-quality content.

Explain how you approach documentation revising, including gathering user feedback, reviewing technical accuracy, and ensuring compliance with company standards. Demonstrating a structured process emphasizes your attention to detail and commitment to quality.

Discuss the techniques you employ to keep your writing clear and concise, such as using simple language, incorporating visual aids, and structuring documents logically. Your ability to simplify complex ideas reflects your skills as a technical writer.

Share your strategies for managing time effectively, setting priorities, and communicating with your team. Discuss how to be proactive in project management ensures that all deadlines are met without compromising quality.

Highlight your experience in leading document review processes, such as soliciting input, gathering feedback from stakeholders, and making appropriate revisions based on that feedback. Emphasizing your collaborative approach will demonstrate your commitment to producing high-quality documents.

Convey your enthusiasm for Fannie Mae’s mission to provide access to affordable housing and how this resonates with your own values. Demonstrate your passion for writing, technical communication, and contributing to impactful projects within the Data Science field.