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Data Scientist Intern

Remote / Online - Candidates ideally in
San Antonio, Bexar County, Texas, 78208, USA
Listing for: Whataburger Restaurants
Full Time, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 22 - 28 USD Hourly USD 22.00 28.00 HOUR
Job Description & How to Apply Below

Welcome to Whataburger Careers! Our Flavor — Why Whataburger Whataburger isn’t just a fast‑food burger chain it is where bold leadership starts — and where potential doesn’t just grow, it heats up. Whether you're leading the line or working behind the scenes, this is the place where opportunities stack up, and every day gives you a chance to Make a Difference.

Since 1950, we’ve invested in people who lead with integrity, Serve with Heart, and bring their best flavor to the team. We believe in working together, speaking up, having a little fun, and Winning as One — because great burgers (and great teams) start with the right ingredients. If you're ready — to learn, grow, impact, and Move Forward Boldly — we’ve got your back and your path cooked to perfection.

Your Recipe for Impact — What You’ll Do As a Data Scientist Intern, you’ll help turn data into insights that support better decisions across the business. Working alongside experienced analytics and technology professionals, you’ll contribute to data preparation, exploratory analysis, reporting, and model development while building foundational data science skills in a real‑world environment. Through your work, you’ll help Make a Difference by uncovering opportunities that improve business outcomes, Serve with Heart by supporting teams with reliable data and actionable insights, Win as One through collaboration across functions and projects, and Move Forward Boldly by exploring innovative tools, technologies, and analytical approaches that help drive continuous improvement.

Day-to-Day

Ingredients — 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.
  • Utilize 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.
What You Bring to the Table — Required Experience

As a Data Scientist Intern, you must have:

  • Current enrollment in an Associate’s or Bachelor’s degree program.
  • Completion of 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.
Extra Toppings — Desired Experience

As a Data Scientist Intern, we prefer you to have:

  • Coursework in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Experience working with Python libraries such as Pandas, Num Py, 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 for emerging technologies and data‑driven innovation.
Where & How You’ll Work

This role is based at the San Antonio Home Office, working on‑site Monday through Thursday with remote flexibility on Fridays.

In this role, you’ll have strong collaboration with leadership, across cross‑functional teams, and with external partners to align capabilities with restaurant realities. The work environment is fast‑paced and requires sound judgment, strategic thinking, and strong…

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