Data Science Analyst

Copart • Dallas, TX

1d

About The Position

Copart, Inc. is a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world. Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology. Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart data science initiatives through the analysis and implementation of data science solutions. The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current products and visualize and report on findings and results to provide insight to the organization.

Requirements

• 3-5+ years of experience (relevant academic internships and projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques.
• Bachelors or masters degree in a highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
• Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS
• Proficiency in data sourcing/manipulation in SQL
• 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 (seaborns, matplotlib, plotly, ggplot2, shiny)
• Experience with both supervised and unsupervised modeling techniques.

Responsibilities

• Design, implement, and analyze data science projects to improve the efficiency of Copart Operations
• 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
• Apply insights from data analysis to guide the development of business initiatives.
• Apply various machine learning techniques to build predictive models.
• Continually engage in professional development to grow both technical skills, business, and industry knowledge.

Benefits

• Medical/Dental/Vision
• 401k plus a company match
• ESPP - Employee Stock Purchase Plan
• EAP - Employee Assistance Program (no cost to you)
• Vacation & Sick pay
• Paid Company Holidays
• Life and AD&D Insurance
• Discounts
• Many other employee benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior