Data Scientist

AutoZone; Memphis (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

AutoZone in Memphis is seeking a Data Scientist to transform raw data into actionable intelligence. You will extract, clean, and analyze data, build models, and present findings to stakeholders.

The ideal candidate has a BA/BS in Statistics or related field (Master's preferred), 2–4 years' experience, and proficiency with Python, R, SQL, and data visualization tools. A creative problem-solving mindset is essential.

Qualifications

• Bachelor's degree in Statistics, Applied Mathematics, Economics or related field.
• Master's degree preferred.
• 2–4 years' experience in statistics or data analysis.

Responsibilities

• Collaborate with data scientists and management to understand business needs.
• Develop statistical models for data analysis.
• Communicate findings clearly to stakeholders.
• Drive analytics to improve business processes.
• Stay updated on industry developments.
• Identify data-driven opportunities to solve business problems.
• Analyze data to improve products and strategies.
• Evaluate new data sources and collection methods.
• Create tailored data models and algorithms.
• Develop predictive models to enhance customer experiences and outcomes.
• Manage the A/B testing framework.
• Coordinate with teams to implement and monitor models.
• Develop tools to track model performance and data accuracy.

Skills

Python

R

SQL

Statistics

Data Visualization

Problem Solving

Communication

Education

Bachelor's degree in Statistics or related

Master's degree preferred

Tools

SAS

Excel

PowerPoint

Job description

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.