Lead Data Scientist

At Auto Zone, our Data Science team drives data-driven decision-making with a team of passionate and skilled data scientists. We focus on uncovering insights and creating innovative solutions to enhance our systems and services. We prioritize continuous learning, providing access to cutting-edge tools, technologies, and professional development opportunities. Collaboration is key, as we work closely with cross-functional teams to integrate data insights across the business.

Our effective communicators translate complex data into actionable recommendations, leveraging teamwork to tackle challenges and deliver impactful solutions that drive Auto Zone's success.

• Lead and Inspire:
  Guide a team of data scientists to tackle Auto Zone’s most pressing challenges.
• Collaborate and Strategize:
  Work closely with leaders to understand needs, develop directives, and manage projects.
• Stakeholder
  
  Collaboration:
  
  Work with various departments to understand their data needs and present findings to senior management.
• Innovate with Data:
  Build predictive models using machine learning and other techniques to support new initiatives.
• Analyze and Explore:
  Validate, manipulate, and perform exploratory data analysis on large datasets.
• Utilize Cutting-Edge Tools:
  Work with Python, SAS, and other analytic computing environments to handle big data.
• Research and Develop:
  Create innovative statistical models for data analysis.
• Communicate Insights:
  Present findings to stakeholders and leadership, including the executive committee.
• Drive Business Processes:
  Implement analytics for smarter business processes and meaningful insights.
• Stay Current:
  Keep the team updated with the latest technical and industry developments.
• Strategize Data Integration:
  Identify and integrate new datasets to leverage system capabilities.
• Execute Experiments:
  Conduct analytical experiments to solve problems and make impactful decisions.
• Mine Data:
  Identify relevant data sources, collect large datasets, and perform data mining.
• Develop Algorithms:
  Create algorithms and models to mine big data, improve models, and ensure data accuracy.
• Analyze Trends:
  Interpret data for trends and patterns with clear objectives.
• Collaborate for Implementation:
  Work with software developers and machine learning engineers to implement models into production.
• Project Management:
  Develop and manage project plans, ensuring timely delivery and alignment with business goals.

• Experience:
  
  10+ years in data science and 2+ years in project management.
• Technical
  
  Skills:
  
  Proficiency in data mining, mathematics, statistical analysis, pattern recognition, and predictive modeling.
• Tool Proficiency:
  Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (Java, R, Python, SAS).
• Dynamic Environment:
  Comfort working in a research-oriented group with multiple concurrent projects.

• Educational Background:
  Bachelor’s degree in statistics, applied mathematics, economics, or related discipline;
  Master’s degree preferred.