Data Science Associate

Company Description

TECH

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 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 MAKE

Responsibilities

The 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.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Desired Experiences

Bachelor degree or equivalent

Skills

Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
Experience evaluating businesses, projects, budgets, and other financial entities or instruments to determine viability, stability, and performance
Experience helping an organization to plan and manage change in effort to meet strategic objectives
The group of skills related to Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
The group of skills related to 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
The group of skills related to 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
Adept at managing project plans, resources, and people to ensure successful project completion
Experience gathering accurate information to explain concepts and answer critical questions
The group of skills related to Product Development including designing products, developing product roadmaps, translating design requirements, prototyping, etc.
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
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 MongoDB

Tools

Skilled in R Markdown
Experience using JIRA
Skilled in Excel
Skilled in Netezza SQL
Skilled in Plotly
Skilled in TOAD SQL database management tool
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 Tableau
Skilled in Python object-oriented programming
Skilled in SGPLOT
Skilled in SAS
Skilled in SQL
Skilled in RStudio to develop programs in R
Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
Experience using GitHub
Skilled in DBeaver SQL client software
Skilled in using Bloomberg Professional
Skilled in using Intex
Experience using R

Additional Information

The future is what you make it to be.

Discover compelling opportunities at Fanniemae.com/careers.

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.

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