Data Scientist Intern

Whataburger•San Antonio, TX
•Hybrid

About The Position

The Data Scientist Intern helps turn data into insights that support better business decisions. Working alongside experienced analytics and technology professionals, the intern contributes to data preparation, exploratory analysis, reporting, and model development while building foundational data science skills in a real-world environment. The role supports business outcomes by uncovering opportunities, providing teams with reliable data and actionable insights, collaborating across functions, and exploring innovative tools, technologies, and analytical approaches. The position is based at Whataburger’s San Antonio Home Office. It is onsite Monday through Thursday, with remote flexibility on Fridays. The work environment is fast-paced and requires sound judgment, strategic thinking, and strong collaboration. Full-time availability is required, with occasional extended hours based on business needs and occasional travel to properties, project sites, and external meetings. Candidates must live within commuting distance of the San Antonio Home Office.

Requirements

  • Currently enrolled in an Associate’s or Bachelor’s degree program.
  • Completed at least 80 college credit hours.
  • Foundational knowledge of Python programming.
  • Basic understanding of SQL and data querying concepts.
  • Strong analytical and problem-solving skills.
  • Ability to learn quickly in a fast-paced environment.
  • Strong attention to detail and organizational skills.
  • Effective written and verbal communication skills.
  • Full-time availability.
  • Must reside within commuting distance of the San Antonio Home Office.

Nice To Haves

  • Coursework in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Experience with Python libraries such as Pandas, NumPy, or scikit-learn.
  • Exposure to data visualization tools such as Power BI or Tableau.
  • Familiarity with machine learning concepts and predictive modeling.
  • Experience using Git or other version control tools.
  • Exposure to cloud-based analytics or development platforms.
  • Experience working on team projects using Agile methodologies.
  • Curiosity about emerging technologies and data-driven innovation.

Responsibilities

  • Assist in developing proof-of-concept data models and analytical solutions.
  • Write, test, and maintain Python code for data analysis and modeling projects.
  • Query and extract data using SQL to support reporting and business initiatives.
  • Clean, structure, and prepare data from multiple sources for analysis.
  • Support feature engineering and dataset development efforts.
  • Use tools such as Git, notebooks, and cloud platforms to support development workflows.
  • Document code, processes, and project outcomes to promote knowledge sharing.
  • Participate in Agile ceremonies and collaborate on sprint-based project work.
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