Enterprise Analytics and Modeling - Data Science - Senior Associate - REF11736Z

Company Description

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 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 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 IMPACT YOU WILL MAKE
The Enterprise Analytics and Modeling - Data Science - Senior 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:

• 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.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 2 years
• Expertise in using statistical methods, machine learning, artificial intelligence.
• Natural Language Generation (NLG), Transformers, BERT and comparable methods
• Proficient in Python and python full stack development, Pandas, Scikit Learn, NLTK, SHAP and LIME, Flask or comparable methods

Desired Experiences

• Master degree or equivalent in engineering, computer science, statistics, mathematics, economics or data analytics. PhD is peferred.

Skills

Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
Experience gathering accurate information to explain concepts and answer critical questions
Adept at managing project plans, resources, and people to ensure successful project completion
Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
Experience helping an organization to plan and manage change in effort to meet strategic objectives
The group of skills related to Product Development including designing products, developing product roadmaps, translating design requirements, prototyping, etc.
Experience evaluating businesses, projects, budgets, and other financial entities or instruments to determine viability, stability, and performance
Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
The group of skills related to Programming including coding, debugging, and using relevant programming languages
The group of skills related to Communication including communicating in writing or verbally, copywriting, planning and distributing communication, 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
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
The group of skills related to Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
Skil