Job Description

Overview

We are seeking a Data Scientist to support advanced analytics and machine learning initiatives across the organization. This role involves working with large, complex datasets to uncover insights, validate data integrity, and build predictive models. A key focus will be developing and refining machine learning models that leverage sales and operational data to optimize pricing strategies at the store level.

Day-to-Day Responsibilities

• Compare and validate numbers across multiple data systems
• Investigate discrepancies and understand how metrics are derived
• Perform data science and data analysis tasks
• Build and maintain AI/ML models using Python
• Interpret model results, fine-tune algorithms, and iterate based on findings
• Validate and reconcile data from different sources to ensure accuracy
• Work with sales and production data to produce item-level pricing recommendations
• Support ongoing development of a new data warehouse and create queries as needed
• Review Power BI dashboards (Power BI expertise not required)
• Contribute to both ML-focused work and general data science responsibilities
• Improve and refine an existing ML pricing model already in production

Qualifications

• Strong proficiency with MS SQL Server
• Experience creating and deploying machine learning models in Python
• Ability to interpret, evaluate, and fine-tune model outputs
• Experience validating and reconciling data across systems
• Strong foundation in machine learning, data modeling, and backend data operations
• Familiarity with querying and working with evolving data environments

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