The Savings Products Data Science team leads the development of predictive modeling solutions and capabilities driving in-depth understanding of our members behaviors and engagement with our products.  The Summer Associate will help support the team’s data science efforts by creating impactful models that will drive product take-up or further our understanding of how members engagement with our deposit products. Products include certificate of deposits, money market accounts, checking accounts, IRAs, and ESAs.

Representative Projects: 

  • Build a machine-learning propensity model that predicts the likelihood that an NFCU member will have excess deposits in checking and should establish recurring transfers into a money market.
  • Perform complex analytical work on large data sets to better understand issues around member engagement and member behavior.
  • Support feature engineering work by creating or adjust flags and/or aggregate data which will be used for future modeling efforts.
  • Support data science and machine-learning efforts
  • Retrieve, analyze, and model data within our Azure Databricks environment
  • Package results and findings into executive-level presentation and present to senior management
  • Currently pursuing an undergraduate degree in Data Science, Computer Science, Information Systems, Business Analytics, or other related degree
  • Experience with Python (Pyspark)
  • Experience with SQL
  • Experience with or knowledge of cloud technologies (Microsoft Azure, Databricks)
  • Experience with data visualization (PowerBI, Tableau)
  • Excellent communication and presentation skills
  • Experience working with ambiguity (ie, data/analytical efforts where there is no clear solution)
  • Curious and energetic nature

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

  • Best Companies for Latinos to Work for 2024
  • Computerworld® Best Places to Work in IT
  • Forbes® 2024 America’s Best Large Employers
  • Forbes® 2023 The Best Employers for New Grads
  • Fortune Best Workplaces for Millennials™ 2023   
  • Fortune Best Workplaces for Women ™ 2023       
  • Fortune 100 Best Companies to Work For® 2024
  • Military Times 2023 Best for Vets Employers
  • Newsweek Most Loved Workplaces 
  • Ripplematch Campus Forward Award - Excellence in Early Career Hiring
  • Yello and WayUp Top 100 Internship Programs

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability EOE/AA/M/F/Veteran/Disability

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Location

Vienna, VA, United States

Job Overview
Job Posted:
3 months ago
Job Expires:
Job Type
Full Time

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