Senior Manager, Data Science in Raleigh, NC at WORLDPAC

Date Posted: 9/13/2018

Career Snapshot

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

Career Description

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class:

Join the AAP Digital Products Team and start reimagining the future of automotive retail. Disrupt the way consumers buy auto parts and join a fast-growing e-commerce team to take on the industry’s biggest challengers.  We are charged with executing AAP's top-down commitment to Digital expansion.

As our Senior Manager, Data Science 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 part of an elite data science function to help buildout the data science function to help the organization live its mission of “Advancing a World in Motion”. 

include the following.

  • 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

  • Recommend and/or build and prototype analysis pipelines iteratively to provide insights at scale.  Develop comprehensive understanding of Advance’s data structure and metrics, advocating for changes where needed for both products development and sales activity.

  • Scoping data science-driven project opportunities to self-disrupt and change the way we work, creating massive business and customer value in the process

  • Creating end-to-end data science solutions, inclusive of advanced models and analytics, to translate data-driven insights into actionable recommendations and outcomes

  • Working 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

  • Working 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

Career Requirements

  • Hands on experience developing data science solutions, from concept to production, and selecting the right tool for the job at hand.

  • Understanding of cloud computing

  • Experience prototyping and implementing data science solutions in an enterprise. 

  • Knowledge of R, Scala, SAS and/or Python

  • Ability to remain current, continually researching and evaluating emerging technologies.  As well as staying current on published state of the are algorithms and models

  • Ability to develop analyst and data scientists

  • Proven ability to challenge conventional thinking and traditional ways of operating and to work with stakeholders to identify and improve the status quo

  • Driven to analyze customer needs and impact business outcomes

  • Proficiency in Microsoft Office software required


  • Bachelor’s Degree in a STEM major (Science, Technology, Engineering or math); Master’s Degree or Ph.D. in STEM major preferred

  • 1-2 years’ experience coding with open source programming languages such as R, Python or Scala; 5 years of experience developing commercial solutions in Python, Scala, or R preferred

  • 1-2 years’ experience developing data science solutions in areas such as operation research, natural language processing, machine learning, deep learning and/or Bayesia methods.

  • Preferred 3 years’ experience developing commercial data science solutions leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning and/or Baysian methods.

  • Preferred experience leading data scientist teams


  • Mentorship role – no direct reports


The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and talk or hear.  The employee is occasionally required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms; and stoop, kneel, crouch, or crawl.  The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.  Specific vision abilities required by this job include close vision, distance vision, color vision, and ability to adjust focus.


The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually moderate.