Data Scientist

AutoZone Open

Memphis Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at AutoZone. Memphis · full-time · no salary stated · we estimate $116,300–$174,200 across the United States.

Estimated pay

AutoZone has not published a salary for this role. The figure below is our estimate, not theirs.

$116,300 – $174,200

What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.

Worked out from 493 postings that stated pay, median $142,065. Last updated Nov 13, 2026.

RoleData Science

SeniorityMid-level

LocationMemphis

EmploymentFull-time

PostedSep 3, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Turn raw data into analysis that reveals trends, opportunities and answers to business questions
Build statistical models and algorithms, including predictive approaches and models tailored to specific needs
Run the A/B testing framework and help teams put models into use and monitor them
Create ways to track model performance and check data accuracy
Explain findings clearly to stakeholders and assess potential data sources and collection methods

What you bring

A bachelor's degree or equivalent in statistics, applied mathematics, economics or a related discipline
Two to four years of statistical work experience
Strong statistical skills, including regression, clustering or time-series modeling
Working knowledge of Python, R, SQL and data visualization tools

Who this fits

This mid-level role suits you if you enjoy using statistical analysis to address business problems and communicate results. You'll work with senior data scientists, management and other teams.

From the employer

Join 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!

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.

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.

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