Data Scientist in Raleigh, NC at Advance Auto Parts

Date Posted: 9/2/2020

Career Snapshot

Career Description



Job Description

Job Description Summary

Advance Auto Parts, a leader in the automotive aftermarket, currently has an opening for a Data Scientist. As a Data Scientist at Advance Auto Parts, you will have an opportunity to disrupt a $100B auto parts industry to bring better and faster solutions to customers. You will be responsible for analyzing billions of transactions to find patterns that will help improve our company and build data products to extract valuable business insights as it relates to assortment planning and inventory optimization. You will be part of an elite data science team formed to help the organization live its mission of Advancing a World in Motion.

Job Description

Essential Duties and Responsibilities include the following.

  • Identify and implement strategies to leverage various large data sources for purposes of improving assortment availability
  • Collect, analyze, and interpret information from multiple data sources identifying actionable insights that create efficiencies and generate revenue.
  • Build predictive models and machine-learning algorithms for second-level analytics and assortment related processes
  • Develop reports and/or presentations leveraging data visualization tools that clearly and concisely communicate analytical findings and recommendations to key stakeholders.
  • Analyze customer sales, transaction, and vehicle related data to identify trends and patterns for use in improving store assortments
  • Familiarity with ANSI SQL
  • Conduct digital channel analysis to understand traffic and revenue drivers, both in-store and on-line. Leverage analytical tools (SQL, Python, R) and data mining techniques to perform advanced data manipulation and extract insights from large databases.
  • Support ad hoc data analysis as requested.
  • Demonstrated desire for continued learning and keeping up with latest techniques in the field of statistics, predictive analytics, operations research or related focuses.
  • Capable of working both independently and on team projects.
  • Other duties may be assigned.

Required Qualifications

Capable of performing the duties listed above.  Proven understanding of latest modeling and forecasting techniques.  Skilled with python programming techniques, unit testing, documentation.  Familiarity with AWS, Notebooks, Hadoop, EMR and S3 a plus.  Familiarity with agile project management a plus.

EDUCATION and/or EXPERIENCE

Bachelors Degree in Computer Science, Mathematics, Engineering or other relevant disciplines Understanding of relational databases and experience with data mining.  Minimum of 2 years of work experience in a field related to data science.

Preferred Qualifications

Masters Degree or PhD in Data Science or another quantitative field.