Data Science Associate

Company: Fannie Mae
Location: Reston
Posted on: June 18, 2022

Job Description:

Company DescriptionTECHAt 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 DescriptionAs a valued colleague on our team, you will work with your team to apply fundamental techniques to support production of insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will apply basic knowledge of data mining and data analysis methods, have familiarity with common large data processing techniques, computational programing capabilities, and practical problem-solving skills, and articulate solutions to non-technical consumers or partners. Additionally, you will partner with data engineering and data management teams to apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.THE IMPACT YOU WILL MAKEResponsibilitiesThe Data Science 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

• Gather and report on business needs and current capabilities, data availability, and alternative uses from product and/or business owners, data engineers, and platform teams.
• Contribute to implementing recommendations regarding modifications to statistical modeling capabilities.
• Build upon basic 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.
• Partner with more experienced team members to design modeling applications that support risk measurement, financial valuation, decision making, and business performance.
• Partner with team to design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions to business partners.QualificationsTHE EXPERIENCE YOU BRING TO THE TEAMDesired Experiences
  • Bachelor degree or equivalent
  • Experience representing data/modeling results to technical and non-technical audiences
  • Experience with database architecture as a user and ability to execute and develop basic SQL queries
  • Experience with basic ML modeling techniques (supervised and unsupervised ML), including regression, classification, clustering, PCA, etc.
  • Preferably experience with ML model explainabilitySkills
    • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
    • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
    • Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
    • Experience defining and managing changes to documents, code, computer programs, websites, and other files to enable collaboration and ensure teams are working from the latest version
    • Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
    • Skilled in cloud technologies and cloud computing
    • Programming including coding, debugging, and using relevant programming languages
    • Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI
    • Experience gathering accurate information to explain concepts and answer critical questions
    • Product Development including designing products, developing product roadmaps, translating design requirements, prototyping, etc.
    • Determining causes of operating errors and taking corrective action
    • Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
    • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
    • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDBTools
      • Skilled in Excel
      • Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
      • Experience using APIs for developing or programming software
      • Experience using BitBucket
      • Skilled in Python object-oriented programming
      • Skilled in SQL
      • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
      • Experience using GitHub
      • Skilled in DBeaver SQL client softwareAdditional InformationIn response to COVID-19, Fannie Mae has adapted ourworkplace and hiring processesto better safeguard our employees, candidates, and new hires.We understand that this is an unprecedented situation and Fannie Mae is committed to creating protocols for these processes that are agile and conform with federal, state, and local health administration guidance. While the company's operating status for on-site work is currently voluntary, the majority of Fannie Mae's workforce is remote until further notice. We continue to conduct all interviews and onboarding virtually. In addition, all employees who wish to come on site must be fully vaccinated against COVID-19 and enter their vaccination information into a confidential HR system before arriving at the facility, unless they have an approved accommodation.Click hereto go directly to information about accommodations.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 careers_mailbox@fanniemae.com.REF10248G

Keywords: Fannie Mae, Reston , Data Science Associate, Other , Reston, Virginia