2020 Data Science Summer Intern in Raleigh, NC at Advance Auto Parts

Date Posted: 10/16/2019

Career Snapshot

Career Description

Job Description

Data Science- 2019 Summer Intern

Schedule – 40 hours a week, Monday – Friday // May 25 - July 31, 2020


Advance Auto Parts (AAP) is a $10 billion after-market auto parts retailer serving millions of customers across the US and Canada. As part of the Advance AI team, you will be leading AAP's push to use cutting-edge computing and data science to optimize nearly every aspect of current operations to increase revenue, cut costs, and, most importantly, anticipate the needs of our customers. Think ahead. Think Advance.

General Job Responsibilities

Work with large, complex data sets.  Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.  Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverable and presentations.

Build prototype analysis pipelines iteratively to provide insights at scale.  Develop comprehensive understanding of Advance’s data structure and metrics.

Create end-to-end data science solutions, inclusive of advanced models and analytics, to translate data-driven insights into actionable outcomes.

Work with the latest open source tools, libraries, platforms and languages to explore billions of customer records and external data sources for relationships and actionable insights.

Partner across the enterprise to enable and share best practices and reusable and scalable tools and code for our data scientist, data engineers and data architects

Work with our user experience and software development teams to design rich data visualizations and interactive solutions to communicate complex ideas to customers and company leaders.

Position Requirements:

Summer 2020 Rising Junior or Senior or first-year Masters student.
Preferred Majors: Computer Science, Mathematics, Engineering or other relevant disciplines
Some experience with a data science programming language (ex: R, SAS, and/or Python)