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Summer Associate Internship - Data Scientist

Navy Federal

Salary not specified
Sep 12, 2025
Pensacola, FL, USA • Vienna, VA, USA
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The company is seeking a Data Scientist Summer Associate to join the Workforce Intelligence team within Contact Center Operations to drive strategic decision-making and operational efficiency across the organization by solving real-world business problems using data science.

Requirements

  • Proficiency in Python and SQL.
  • Experience with data cleaning and exploratory data analysis (EDA).
  • Familiarity with data visualization tools such as Power BI and Dash.
  • Experience with R programming.
  • Background in statistics, mathematics, or machine learning.
  • Exposure to big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., Azure, AWS, GCP).
  • Understanding of version control systems like Git.

Responsibilities

  • Collaborate with cross-functional teams to understand business challenges and translate them into data-driven solutions.
  • Perform data cleaning, preprocessing, and exploratory data analysis (EDA) to uncover insights.
  • Develop and deploy interactive dashboards and visualizations using Power BI and Dash Apps.
  • Write efficient and scalable code in Python and SQL to manipulate and analyze large datasets.
  • Apply statistical methods and machine learning techniques to model and predict business outcomes.
  • Document findings, methodologies, and present results to stakeholders in a clear and compelling manner.
  • Contribute to the development of data pipelines and cloud-based analytics solutions.

Other

  • Must be currently enrolled in, or planning to enroll in, a graduate-level program (Master’s) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a closely related field following completion of undergraduate studies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Anticipated graduation date of December 2026 or later.
  • Ability to work Monday – Friday 8:00AM - 4:30PM