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Associate Data Scientist in Raleigh, NC at Advance Auto Parts

Date Posted: 3/17/2019

Career Snapshot

  • Employee Type:
  • Location:
    Raleigh, NC
  • Career Type:
  • Experience:
    Not Specified
  • Date Posted:

Career Description

Job Description

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.  You will be part of an elite data science function to help the organization live its mission of Advancing a World in Motion.

Essential Duties and Responsibilities include the following.  Other duties may be assigned.

* Identify and implement strategies to leverage valuable data sources across search, social, display, email and other digital channels.

* Collect, analyze, and interpret information from multiple data sources identifying actionable insights that create efficiencies and generate revenue.

* Build basic regression models for analytical purposes.

* Develop reports and/or presentations leveraging data visualization tools that clearly and concisely communicate analytical findings and recommendations to key stakeholders.

* Analyze customer, transaction, and campaign data to identify trends and patterns in marketing campaign performance and/or customer behavior.

* Conduct digital channel analysis to understand traffic and revenue drivers, both in-store and on-line.

* Leverage analytical tools (SQL, SAS, Tableau) and data mining techniques to perform data manipulation and extract insights from databases.

* Support ad hoc analytic need as requested.

Required Qualifications * Experience with a data science programming language (e.g. R, SAS, SPSS, and/or Python) * Bachelor’s Degree in Computer Science, Mathematics, Engineering or other relevant disciplines  * Understanding of relational databases

Preferred Qualifications * Master’s Degree of PhD in Data Science or another quantitative field

* Experience with machine learning

* Experience with data frameworks (e.g. Hadoop)

* Experience with data mining