Position Details
About this role
The Data Scientist, Merchandising Analytics at Tractor Supply leverages data science techniques to support merchandising strategies, focusing on space planning and pricing through predictive modeling and data governance.
Key Responsibilities
- Explore business questions with partners
- Develop predictive models using R, Python, Databricks
- Contribute to data governance and architecture
- Design and execute A/B tests
- Promote data-driven decision making
Technical Overview
Environment involves advanced statistical methods, Machine Learning, AI, Python, R, Databricks, and data architecture to develop predictive models and optimize business processes.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years experience in machine learning, statistical modeling, and data analytics using Python, R, and Databricks. They possess strong communication skills and can translate complex data insights into actionable business strategies.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of relevant experience, Lack of experience with Python, R, or Databricks, Inability to communicate complex results to non-technical stakeholders
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