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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.
- 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.
- 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.
Key Skills
Ranked by relevance
sql
python
sas
data visualization
data analysis
powerpoint
excel
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- Posted
- Jun 16, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Memphis
- Company
- AutoZone
Industries
Retail
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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DevOps Engineer
2026-06-18
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Data Scientist till Axfood AB
2026-06-17
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View Job Details
Related
Data Scientist
2026-06-12
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