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AutoZone

Data Scientist, Commercial Pricing

AutoZone, Memphis, Tennessee, us, 37544

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Data Scientist, Commercial Pricing

– AutoZone

Job Description The Data Scientist on the Commercial Pricing team is a strategic thinker and technical expert, capable of translating complex data into clear, impactful business recommendations. This role will collaborate cross-functionally with teams in Sales, IT, and International (Mexico and Brazil) to drive pricing innovation and support long-term commercial strategies. The focus is on developing advanced pricing models and customer segmentation strategies to optimize pricing decisions and uncover actionable insights across our B2B customer base.

Responsibilities Involved in cross‑functional teams developing strategies and specific corporate initiatives. Must be catalyst for change and drive process improvement.

Lead the development, validation, and deployment of statistical models to support commercial pricing strategies.

Analyze large‑scale datasets to identify trends, improve pricing decisions, and support both domestic and international business needs.

Translate complex data into strategic insights and communicate findings effectively to non‑technical stakeholders.

Collaborate with IT and pricing teams to integrate analytical solutions into backend systems and infrastructure.

Develop tools, dashboards, alerts, and reports to support sales and merchandising teams across regions.

Stay current with emerging data technologies and integrate them into pricing systems and long‑term strategies.

Participate in cross‑functional initiatives and act as a catalyst for process improvement and innovation.

Qualifications

Bachelor’s degree in Statistics, Business, Economics, Data Science, or a related field.

2–4 years of experience in an analytical role, preferably within retail or B2B environments.

Strong foundation in statistical modeling and quantitative research (e.g., regression analysis, clustering, decision trees, choice models).

Proficiency in SAS (Base, SQL, Macro), STATA, Python, and Linux.

Advanced Excel skills and strong data visualization capabilities.

Excellent verbal and written communication skills, with the ability to simplify complex concepts.

Self‑starter with a strong sense of ownership and attention to detail.

About Us 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

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, 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.

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