Job Description

\n\n\nJoin us as a Data Scientist and support us in transforming raw data into actionable intelligence. You'll extract, clean, and analyze data to uncover trends and opportunities, ask insightful questions, and present your findings clearly to stakeholders. We're looking for someone with a strong background in statistics, proficiency in Python, R, SQL, and data visualization tools, and a creative problem-solver. Join us for an innovative environment, growth opportunities, and a collaborative team. Ready to make an impact? Apply today!

Responsibilities

• Collaborate: Work with senior data scientists and management to understand business needs.
• Innovate: Develop new statistical models for data analysis.
• Communicate: Share findings with stakeholders clearly.
• Drive Insights: Implement analytics for smarter business processes.
• Stay Updated: Keep up with industry developments.
• Identify Opportunities: Use data to solve business problems.
• Data Mining: Analyze data to improve products and strategies.
• Evaluate Sources: Assess new data sources and collection methods.
• Custom Models: Create tailored data models and algorithms.
• Predictive Modeling: Enhance customer experiences and business outcomes.
• A/B Testing: Manage the A/B testing framework.
• Coordinate: Work with teams to implement and monitor models.
• Monitor Performance: Develop tools to track model performance and data accuracy.

Qualifications

What We're Looking For:

• Level of Formal Education: A Bachelor's degree (BA, BS) or equivalent.
• Area of Study: Statistics, Applied Mathematics, Economics or related discipline.
• Master's degree preferred • Years of Experience: 2 to 4 years' experience • Type of Experience: Experience in statistics.

You'll Go The Extra Mile If You Have:

• Special Certifications or Technical Skills: Job Interviewing/ Negotiations.
• Experience with Excel, PowerPoint, SQL, SAS, and experience with other programming languages (i.e., R, Python, ).
• Advanced pattern recognition and predictive modeling experience
• Solid statistical skill set is required like multiple linear regression, multivariate adaptive regression spline, cluster analysis, time series modeling, etc.
• A strong data skill set is also needed-- like SQL programming and SAS data step programming to get the data prepared for analysis and modeling.

About Autozone

Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.

Benefits at AutoZone

AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners' physical, mental and financial well-being.

All AutoZoners (Full-Time and Part-Time):

• Competitive pay
• Unrivaled company culture
• Medical, dental and vision plans
• Exclusive discounts and perks, including an AutoZone in-store discount
• 401(k) with company match and Stock Purchase Plan
• AutoZoners Living Well Program for free mental health support
• Opportunities for career growth

Additional Benefits for Full-Time AutoZoners:

• Paid time off
• Life, and short- and long-term disability insurance options
• Health Savings and Flexible Spending Accounts with wellness rewards
• Tuition reimbursement

Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.

We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.

Online Application:

An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources.

AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.