Data Scientist - Remote

Data Scientist

The Merchandise Operations Management Delivery team is responsible for modernization of Global Merchandise Financial systems, as well as our Pricing and Clearance Management systems. We achieve these goals by implementing off-the-shelf solutions (Oracle Retail), which drive the ability to support key finance processes and markdown strategies. Our business customers rely on the accuracy and integrity of the solutions we provide to manage our merchandise, pay our vendors accurately and in a timely fashion and ultimately report accurate data to Wall Street.

As a Data Scientist, you'll be part of a dynamic and collaborative environment that touches every aspect of the business—from product placement and inventory optimization to systems engineering analytics and modeling. You'll work closely with cross-functional partners across product, engineering, and merchandising, providing both strategic insights and ad-hoc data support to fuel smarter decisions.

Your Impact:

• Design, develop, and deploy machine learning models and statistical algorithms to solve complex business and IT problems
• Analyze large, structured and unstructured datasets to extract meaningful insights and drive data-informed decisions
• Build, maintain, and run automated and ad-hoc reports to support business operations and strategic initiatives
• Collaborate with cross-functional teams to identify opportunities for leveraging data and fulfill ad-hoc data requests to support timely and informed decision-making
• Build and maintain data pipelines and workflows to support scalable analytics, reporting, and model deployment
• Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders
• Conduct Time-Series, Sequential testing and other experimental designs to evaluate the impact of business and IT initiatives
• Provides guidance on technical approaches, and best practices