Data Scientist

Autozone • Memphis, TN

19d

About The Position

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!

Requirements

• A Bachelor's degree (BA, BS) or equivalent.
• Statistics, Applied Mathematics, Economics or related discipline.
• 2 to 4 years’ experience
• Experience in statistics.
• SQL programming
• SAS data step programming to get the data prepared for analysis and modeling.

Nice To Haves

• Master’s degree preferred
• Job Interviewing/ Negotiations.
• Experience with Excel, PowerPoint, 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

Responsibilities

• Work with senior data scientists and management to understand business needs.
• Develop new statistical models for data analysis.
• Share findings with stakeholders clearly.
• Implement analytics for smarter business processes.
• Keep up with industry developments.
• Use data to solve business problems.
• Analyze data to improve products and strategies.
• Assess new data sources and collection methods.
• Create tailored data models and algorithms.
• Enhance customer experiences and business outcomes.
• Manage the A/B testing framework.
• Work with teams to implement and monitor models.
• Develop tools to track model performance and data accuracy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level