Multifamily Data Science Leader

7 days ago

Washington, Washington, D.C., United States Fannie Mae Full time
Job Title: Multifamily Principal Data Science

Job Summary:

Fannie Mae is seeking a highly skilled Multifamily Principal Data Science professional to join our team. As a key member of our data science team, you will be responsible for designing, managing, and documenting data stores, data warehouses, and/or subject areas, as well as assessing opportunities for improving or consolidating data stores, data warehouses, and their data elements.

Key Responsibilities:

  • Develop and implement approaches for data management and development or maintenance work on data models in support of enterprise projects as part of a Department or a larger, strategic initiative.
  • Develop and implement processes and procedures to identify, monitor, analyze, and evaluate data model discrepancies and data integration challenges, as well as lead team to address and resolve discrepancies and challenges.
  • Collaborate with management to define the approaches necessary to ensure effective coordination between business units and technical staff, as well as drive understanding of data usage, lineage, and attributes.
  • Oversee and ensure implementation of opportunities to align data architecture workstreams with business objectives.
  • Direct and execute the implementation of new data models and/or the reuse of data models in new environments.

Qualifications:

Minimum Required Experiences:

  • 8 years of experience in data science, data management, or a related field.

Skills:

  • Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI.
  • Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data.
  • Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
  • Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.

Tools:

  • Experience using SharePoint.
  • Skilled in Tableau.
  • Skilled in Excel.
  • Experience using JIRA.

Desired Experiences:

  • Bachelor degree or equivalent; Master degree preferred.

Skills:

  • Develop, manage, and implement a holistic MF Data Science strategy. Candidate will help advance proof of concept, experimentation and application of AI/ML and GenAI capabilities to advance MF capabilities.
  • Coordinate and implement Data Science training and development for MF division.
  • Coordinate planning and execution of new and enhanced data acquisition patterns leveraging AI/ML and/or GenAI including unstructured data extraction, 3rd party data procurement, and enablement of APIs.
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica.
  • Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process.
  • Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP).

Tools:

  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora.
  • Skilled in SQL.
  • Skilled in TOAD SQL database management tool.
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS.
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms.
  • Skilled in Microsoft Teams.
  • Experience using scheduling software to book events.
  • Skilled in R Language Programming.
  • Skilled in Python object-oriented programming.
  • Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast.
  • Skilled in Alteryx for data analytics applications.

About Fannie Mae:

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.

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