14 дней назад
Data Science Intern (Summer 2027)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Intern (Summer 2027) (Python/SQL): Conducting data analysis and developing predictive models for marketing, lending, indirect lending, and warranty business verticals with an accent on statistical analysis, machine learning, and the full data science life cycle. Focus on extracting insights from data, building models and algorithms, and presenting analytical results to business leaders and colleagues.
Location: Regular on-site work Monday–Friday, 40 hours per week, based in the Tempe, Arizona or Dallas, Texas offices. Relocation is not provided.
Company
Family of Brands operates used-car sales, financing, servicing, and vehicle protection businesses through , Bridgecrest, and SilverRock.
What you will do
- Conduct data analysis and provide insights for business decision-making.
- Assist with developing and implementing data models, algorithms, and predictive models.
- Apply statistical and machine learning techniques to extract knowledge and patterns from data.
- Develop approaches to increase data intelligence across marketing, lending, indirect lending, and warranty functions.
- Present analytical results to leaders and colleagues.
Requirements
- Be a bachelor's or master's student graduating between December 2027 and May 2028.
- Pursue a degree in Data Science, Statistics, Mathematics, Physics, Computer Science, or a related discipline.
- Maintain a GPA of 3.5 or higher.
- Read and write Python; have working knowledge of SQL, Tableau, and Excel.
- Understand the data science life cycle and demonstrate strong problem-solving, analytical, and communication skills.
- Temporary visa holders and candidates requiring sponsorship now or in the future are not eligible; visa sponsorship will not be provided.
Culture & Benefits
- Paid 11-week internship running from May 2027 through August 2027.
- Hands-on experience, completed projects, portfolio development, mentorship, and professional guidance.
- Opportunities to continue through the fall semester, return the following summer, or transition to full-time employment after graduation.
- Access to an in-house gym and community philanthropy activities.
- Smart-casual workplace and employee events.
Hiring process
- Hiring is contingent on successfully completing background and drug screening.
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