{"id":4093019,"url":"https://alion.io/job/autozone-data-scientist-senior-store-operations","title":"Data Scientist, Senior- Store Operations","company":{"id":1767275,"name":"AutoZone","domain":"autozone.com","url":"https://alion.io/company/autozone-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":95,"open_postings":48,"ghost_share":0,"stale_share":0.396,"repost_share":0.021,"time_to_fill_p50_days":8,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Memphis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-11T18:55:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T20:33:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\n Partner with business leaders and stakeholders to understand challenges, identify opportunities, and translate business needs into analytical solutions.\nDevelop, test, and deploy advanced statistical and predictive models that drive business performance and operational efficiency.\nMine, analyze, and interpret large datasets to uncover trends, patterns, and actionable insights.\nBuild custom algorithms and data models to address complex business problems.\nDesign and manage A/B testing frameworks to evaluate business initiatives and optimize outcomes.\nAssess the effectiveness, quality, and reliability of new data sources and data collection methods.\nPresent findings and recommendations to stakeholders through clear visualizations and compelling storytelling.\nCollaborate with cross-functional teams to implement analytical solutions and monitor performance after deployment.\nDevelop tools and processes to measure model effectiveness, data quality, and business impact.\nStay current with advancements in data science, machine learning, artificial intelligence, and analytics technologies.\nSupport business functions including customer experience, marketing effectiveness, revenue optimization, and operational strategy through data-driven decision making.\n What We Are Looking For\nBachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline required; Master's degree preferred.\nMinimum of 4 years of professional experience in data science, advanced analytics, or a related field.\nStrong expertise in statistical analysis, predictive modeling, and machine learning techniques.\nAdvanced knowledge of SQL and experience preparing and transforming data for analysis.\nProficiency with Python, R, SAS, or similar analytical programming languages.\nExperience creating data visualizations and communicating insights to diverse audiences.\nStrong problem-solving skills with the ability to connect analytical findings to business outcomes.\nAbility to manage multiple projects simultaneously in a fast-paced, research-driven environment.\nExcellent communication, presentation, and stakeholder management skills.\nDemonstrated ability to work collaboratively across technical and business teams.\nYou'll Go the Extra Mile If You Have\nA Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field.\nExperience leveraging machine learning models in large-scale production environments.\nExpertise with cloud-based analytics platforms and modern data ecosystems.\nExperience supporting retail, supply chain, customer analytics, or e-commerce organizations.\nFamiliarity with advanced visualization tools such as Power BI, Tableau, or similar platforms.\nExperience developing automated model monitoring and data quality frameworks.\nA 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