Data Scientist Intern: Build Insights & Impact

Whataburger; San Antonio (TX); Hybrid; USD 40,000 - 54,000; Full time

Job summary

Whataburger is seeking a Data Scientist Intern based in the San Antonio Home Office. You will turn data into insights, support reporting, and develop models while building foundational data science skills in a real-world setting.

You will collaborate with analytics and technology professionals, contribute to data preparation, exploratory analysis, and model development, and help drive continuous improvement across functions.

Qualifications

• Currently enrolled 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.

Responsibilities

• Develop proof-of-concept data models and analytical solutions.
• Write, test, and maintain Python code for data analysis.
• Query and extract data using SQL to support reporting.
• Clean, structure, and prepare data from multiple sources for analysis.
• Support feature engineering and dataset development.
• Utilize 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.

Skills

Python programming

SQL

Analytical thinking

Communication skills

Team collaboration

Education

Associate's or Bachelor's degree

Tools

Git

Power BI

Tableau

Jupyter notebooks

Cloud platforms

Job description

Whataburger is seeking a Data Scientist Intern based in the San Antonio Home Office. You will turn data into insights, support reporting, and develop models while building foundational data science skills in a real-world setting.

You will collaborate with analytics and technology professionals, contribute to data preparation, exploratory analysis, and model development, and help drive continuous improvement across functions.