Data Science Advisor

Job summary

Playing an essential role in the U. economy, Fan*** is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country.

Benefits

Qualifications

• Education: Doctorate, Master's Level Degree (Required)
• The future is what you make it to be.
• Discover compelling opportunities at Fanniemae.com/careers.
• For most roles, employees are expected to work onsite on a regular basis at their designated office location.
• In-office work cadence is determined by your manager.
• Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
• Fan*** is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company.
• If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
• The hiring range for this role is set forth below.
• 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
• This position is eligible to participate in a Fan*** incentive program (subject to the terms of the program).
• As part of our comprehensive

Responsibilities

• You will apply extensive knowledge of data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving
• Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
• Develop and advise on the implementation of new statistical modeling capabilities to solve technical business problems and inform the team's technical direction.
• Apply and develop advanced analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
• Apply extensive knowledge of practices in research and testing for product development, deployment, and maintenance.
• Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
• Design data visualizations, technical documentation, and non-technical presentation materials to communicate new ideas and high-impact solutions to business partners
• Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
• Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or workpapers
• THE EXPERIENCE YOU BRING TO THE TEAM
• Minimum Required Experiences:
• 6 years of relevant experience in data science, predictive analytics, optimization , product management functions.

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