Data Science Intern: Hands-On Insights & Modeling

DriveTime; Tempe (AZ); Híbrido; USD 28 000 - 41 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid internship

On-site in Tempe or Dallas

Professional mentorship

Resumo da oferta

DriveTime is seeking a Data Science Intern for its Summer 2027 internship program. The role offers hands-on experience across marketing, lending, indirect lending, and warranties using Python, SQL, and analytics tools.

Interns work 40 hours per week on-site in Tempe, AZ or Dallas, TX for 11 weeks, with relocation not provided. The ideal candidate is a detail-oriented problem solver with a strong curiosity, excellent communication skills, and a solid understanding of the data science life cycle.

Qualificações

• Pursuing a degree in Data Science, Statistics, Mathematics, Physics, Computer Science, or related discipline.
• GPA of 3.5 or higher is required or strongly preferred.
• Experience with Python, SQL, and data analytics tools.
• Familiarity with data science life cycle and modeling concepts.

Responsabilidades

• Conduct data analysis and provide insights to support business decisions.
• Assist in developing data models, algorithms, and predictive models.
• Apply statistical and machine learning techniques to extract knowledge from data.
• Help create innovative ways to increase data intelligence across the business.
• Present results clearly to leaders and teams.

Conhecimentos

Python

SQL

Statistical analysis

Machine learning

Formação académica

Bachelor's or Master's student

GPA 3.5+

Ferramentas

Tableau

Excel

Descrição da oferta de emprego

DriveTime is seeking a Data Science Intern for its Summer 2027 internship program. The role offers hands-on experience across marketing, lending, indirect lending, and warranties using Python, SQL, and analytics tools.

Interns work 40 hours per week on-site in Tempe, AZ or Dallas, TX for 11 weeks, with relocation not provided. The ideal candidate is a detail-oriented problem solver with a strong curiosity, excellent communication skills, and a solid understanding of the data science life cycle.