Remote Data Science and Data Analyst Jobs

Senior Data Science Associate

Fannie Mae - US
Posted: 2 years ago

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 nation's 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 Senior 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:

  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
  • Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources. Conduct research to gain information about products or processes.
  • Proactively analyze information obtained from management to conceptualize and define operational problems. Analyze data to identify or resolve operational problems.
  • Study, teach and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
  • 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.


Minimum Required Experiences

  • 2 years
  • Desired Experiences
  • Bachelor degree or equivalent


  • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
  • Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • 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 cloud technologies and cloud computing
  • Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.


  • Experience using APIs for developing or programming software
  • Skilled in Python object-oriented programming
  • Skilled in SQL
  • Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
  • Experience using JIRA
  • Experience using GitHub
  • Skilled in Tableau
  • Skilled in Excel
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Experience using BitBucket
Data Science and Analyst