Data Scientist, Senior- Store Operations

As a Senior Data Scientist, you'll serve as both a strategic thinker and hands-on analytics expert. You'll work with large and complex datasets, develop predictive models, evaluate emerging data sources, and transform analytical findings into practical business recommendations. Success in this role requires a strong foundation in statistics and programming, intellectual curiosity, and the ability to communicate complex concepts to both technical and non-technical audiences. You will play a key role in helping AutoZone make smarter, faster, and more informed decisions through data. • Partner with business leaders and stakeholders to understand challenges, identify opportunities, and translate business needs into analytical solutions. • Develop, test, and deploy advanced statistical and predictive models that drive business performance and operational efficiency. • Mine, analyze, and interpret large datasets to uncover trends, patterns, and actionable insights. • Build custom algorithms and data models to address complex business problems. • Design and manage A/B testing frameworks to evaluate business initiatives and optimize outcomes. • Assess the effectiveness, quality, and reliability of new data sources and data collection methods. • Present findings and recommendations to stakeholders through clear visualizations and compelling storytelling. • Collaborate with cross-functional teams to implement analytical solutions and monitor performance after deployment. • Develop tools and processes to measure model effectiveness, data quality, and business impact. • Stay current with advancements in data science, machine learning, artificial intelligence, and analytics technologies. • Support business functions including customer experience, marketing effectiveness, revenue optimization, and operational strategy through data-driven decision making. What We Are Looking For • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline required; Master's degree preferred. • Minimum of 4 years of professional experience in data science, advanced analytics, or a related field. • Strong expertise in statistical analysis, predictive modeling, and machine learning techniques. • Advanced knowledge of SQL and experience preparing and transforming data for analysis. • Proficiency with Python, R, SAS, or similar analytical programming languages. • Experience creating data visualizations and communicating insights to diverse audiences. • Strong problem-solving skills with the ability to connect analytical findings to business outcomes. • Ability to manage multiple projects simultaneously in a fast-paced, research-driven environment. • Excellent communication, presentation, and stakeholder management skills. • Demonstrated ability to work collaboratively across technical and business teams. You'll Go the Extra Mile If You Have • A Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. • Experience leveraging machine learning models in large-scale production environments. • Expertise with cloud-based analytics platforms and modern data ecosystems. • Experience supporting retail, supply chain, customer analytics, or e-commerce organizations. • Familiarity with advanced visualization tools such as Power BI, Tableau, or similar platforms. • Experience developing automated model monitoring and data quality frameworks. • A proven track record of influencing business strategy through data-driven recommendations. • Passion for continuous learning and applying emerging technologies to solve business challenges.