Data Scientist in Raleigh, NC at Advance Auto Parts

Date Posted: 6/8/2022

Career Snapshot

Career Description



Job Description

Join the AAP enterprise Artificial Intelligence team and start reimagining the future of automotive retail. Disrupt a $150B auto parts industry to bring better and faster solutions to customers, re-invent the way consumers buy auto parts, and take on the industry’s biggest challengers to execute on AAP's top-down commitment to digital expansion. 

The Advance AI team builds first-of-a-kind capabilities using advanced statistical and machine learning modeling techniques that scale across the entire enterprise. The team’s ultimate mission is to develop cutting-edge analytics and AI capabilities that drive profit growth for Advance Auto Parts.

Data Scientist is an important, integral part of the Advance AI team.  This position is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms.  This individual will be responsible for developing scalable solutions to provide data-driven and optimization insights. He/she will be passionate about learning and deploying leading technologies in the data science space specific to the business needs to drive results and identify opportunities.  As a Data Scientist, he/she will drive business impact by solving unique problems through analytics and machine learning, continuous improvement in methodologies, and change management in a fast-paced environment.

Key Responsibilities 

  • Engage in data driven projects across the company to improve the profitability and revenue for AAP. Example projects include customer segmentation and profiling, customer lifetime value, marketing mix modeling, propensity models, uplift modeling, sales and demand forecasting, supply chain optimization etc.

  • Develop models to forecast purchasing patterns, demand trends, resource requirements, to extract insights from both quantitative and qualitative data. 

  • Design, develop, and deploy data science solutions with best practices in statistical analysis, machine learning and deep learning modeling.

  • Communicate analytical findings and recommendations to business leaders in a clear and concise manner.

Required Professional and Technical Expertise:

  • Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines

  • 2+ years' experience with data science / machine learning techniques (e.g., logistic regression, hierarchical regression, decision tree, random forest, neural networks, etc.)

  • Expertise in Python, SQL and with data science and data analytics packages working on structured and unstructured data

  • Expertise working in AWS or other cloud platforms using big data solutions

  • Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow

  • Recognized for analytical rigor and ability to identify actionable insights from ambiguous and sometimes limited information

  • Strong communication, ability to effectively connect/translate complex analytics findings to business insights and recommendations

Preferred Professional and Technical Expertise:

  • Ph.D. in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines

  • Natural language processing and natural language understanding expertise

  • Familiarity with developing and industrializing scalable analytical solutions

  • Ability to gain consensus, to lead change and transformation

  • Passionate about data science and self-motivated to stay abreast of advances in data science techniques

  • Experience in a retail (brick and mortar or online) industry

  • Experience leading projects for one or more business units

This position reports to the Sr Manager, Data Science and is part of a Hybrid work arrangement based in Raleigh, NC.

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