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Data Scientist Summer Associate

2 months ago

St Marys, Georgia, United States Navy Federal Credit Union Full time

About the Role

Navy Federal Credit Union is seeking a highly motivated and talented Data Scientist Summer Associate to join our Lending Analytics Credit Risk & Decision Science team. As a Data Scientist Summer Associate, you will have the opportunity to work on impactful projects and meaningful work during your internship.

Key Responsibilities

  • Leverage a broad set of modern technologies, including Python, R, Scala, and Spark, to analyze and gain insights within large data sets.
  • Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events.
  • Provide analytics insights and solutions to solve complex business problems.
  • Manage, architect, and analyze big data to build data-driven insights and high-impact data models.
  • Evaluate model design and performance and perform champion/challenger development.
  • Apply business knowledge and advanced statistical modeling techniques when building data structures and tools.
  • Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic-based solutions from design to deployment.
  • Examine data from multiple sources and share insights with leadership and stakeholders.
  • Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision-making.
  • Create data visualizations and/or dashboards to monitor and explain risk trends that are relevant for loss and originations modeling.
  • Conduct model validations and routinely assess model performance.
  • Create reports and other deliverables to assist with business planning, continuity, and strategy.
  • Lead initiatives to streamline or automate processes related to data preparation, quality assurance, execution of in-production models, report creation.
  • Use a variety of analytical and modeling techniques to develop and/or refine strategies related to underwriting criteria, pricing, line management, loss forecasting, loan loss reserves to drive business direction across multiple asset classes.

Requirements

  • Currently pursuing a graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.
  • Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner.
  • Advanced skill in communicating actionable insights using data to technical and non-technical audiences.
  • Experience working in a dynamic, research-oriented environment.
  • Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
  • Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually.
  • Proficient in storytelling with data skills.
  • Strong technical writing skills.
  • Skill communicating thoughts, concepts, practices effectively at all levels, adjusting as needed to a target audience.
  • Strong verbal, interpersonal, and written communication skills.
  • Strong database, word processing, spreadsheet, and presentation software skills.