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Data & AI Intern

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Copart

May 18

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Dallas

Requirements

  • 6 Months of experience (relevant academic internships & projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques.
  • Bachelor or Master's degree in highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Proficiency in either R or Python
  • Proficiency in data sourcing/manipulation in SQL
  • Bachelor or Master's degree in highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Experience applying various machine learning techniques, specifically neural networks and gradient boosted machines, and understanding the key parameters that affect their performance
  • Strong data visualization skills using open source tools (plotly, ggplot2, shiny)
  • Experience with both supervised and unsupervised modeling techniques

Responsibilities

  • Develop new predictive models using advanced techniques
  • Apply critical thinking to ensure data integrity and quality control is applied to each dataset, model and other analysis prior to presenting with internal customers
  • Coordinate with different functional teams to operationalize, and monitor machine learning solutions
  • Apply statistical methodologies such as cluster and regression analysis, if necessary.
  • Act as a proponent of data science/analytics to senior leadership and others by being able to explain the benefits of machine learning, and other techniques.

FAQs

What is the primary role of the Data & AI Intern at Copart?

The primary role of the Data & AI Intern at Copart involves working closely with IT and various departments to gain insights from data and deliver machine learning solutions aimed at improving the company's operations.

What types of tasks will the intern be responsible for?

The intern will be responsible for designing and manipulating large-scale data sets from various sources, operationalizing and integrating machine learning solutions into existing products, and visualizing and reporting findings to provide insights to the organization.

Will the intern collaborate with other departments?

Yes, the intern will work closely with IT and various other departments to enhance understanding and application of data-driven insights.

What skills or experience should candidates have to apply for this internship?

Candidates should possess skills in data manipulation, machine learning, data visualization, and a strong understanding of working with large datasets. Experience or coursework related to data science or analytics would be beneficial.

How does this internship contribute to Copart's operations?

This internship contributes by enabling the application of machine learning solutions and data analysis to improve operational efficiencies, drive business insights, and enhance decision-making processes within the organization.

What type of projects will the intern likely be involved in?

The intern will likely be involved in projects that focus on designing machine learning algorithms, analyzing large datasets, and creating visual reports to present findings and actionable insights.

Is there an opportunity for mentorship during this internship?

Yes, interns will often receive mentorship and guidance from experienced professionals within Copart, helping to develop their skills and knowledge in data science and AI applications.

What are the expected outcomes for the intern by the end of the internship?

By the end of the internship, the intern is expected to have gained hands-on experience in data science, developed machine learning models, and provided insights through data visualization and reporting, contributing to real-world applications within Copart.

How will the intern's work be evaluated?

The intern's work will be evaluated based on their ability to effectively manipulate data, the quality of machine learning solutions developed, and the clarity and impact of their visualizations and reports in conveying insights to stakeholders.

Copart is a global leader in online car auctions, and a premier destination for the resale and remarketing of vehicles.

Manufacturing & Electronics
Industry
5001-10,000
Employees
1982
Founded Year

Mission & Purpose

Copart, a global online auto auction company headquartered in Dallas, Texas is a top-performing S&P 500 company, as noted by The Wall Street Journal. Copart is a global technology leader in the online vehicle auction industry that connects its buyers and sellers via its patented cutting-edge VB3 technology. With a passion for excellence, Copart has a great company culture and strong dedication to our employees. Copart is a veteran-founded company that honors the service of active & reserve duty employees. Copart’s veteran commitments include Leadership Development Programs, tuition reimbursement, and up to 10 days of paid leave for non-activation orders like training. Founded in 1982, Copart connects more than 750,000 buyers and sellers from over 200 locations around the world. With our innovative technology, we remarket salvage and clean title vehicles to dealers, dismantlers, rebuilders, exporters and end users through a multi-channel online internet platform. Copart sells vehicles on behalf of insurance companies, banks, finance companies, fleet owners, car dealerships, cars sourced from the general public and others. Because we are a 100% online auto auction company, Copart Members can browse our incredible inventory, set their own price and get great deals on vehicles through their home computer, smartphone or other mobile device. Copart’s vehicles can range in condition from damaged vehicles that can be used as rebuild projects to like-new, used vehicles. Copart is the parent company to a portfolio of auto service companies, including CashForCars.com, CrashedToys, and National Powersport Auctions (NPA). We currently operate in the United States (Copart.com), Canada (Copart.ca), the United Kingdom (Copart.co.uk), the Republic of Ireland (Copart.ie), Brazil (Copart.com.br), Germany (Copart.de), the United Arab Emirates, Oman and Bahrain (Copartmea.com), Spain (Copart.es), and Finland (copart.fi).