Copart is looking for a data scientist who will work closely with IT and various other departments to drive insight into data and deliver machine learning solutions to improve Copart's operations. This data scientist will also design/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.
Job Duties
- 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.
Minimum 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's or Master's degree in a 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.
- 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.
For 40 years, Copart has led its industry in innovation and customer service, enabling it to grow profitably in markets across the globe. Our success is the direct result of the skills and efforts of our talented and diverse employees. Our mindset? It's never just a 'job' when your coworkers are like family - it's like coming home.
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