Design and lead research studies with moderate complexity that capture both the physical and emotional dimensions of the run including movement usage, usage patterns and subjective feedback. Analyze running behavior through wearable metrics and product usage logs to uncover insights that inform footwear design and performance testing. Identifying new features within established tools to quantify on the run and product experience. Integrate qualitative feedback from surveys to understand how runners interpret comfort, performance and connection to the product. Develop frameworks and visualization tools that quantify runner behavior and link it to product perception that reveal new insights that guide decision making. Ensure on-time conclusions regarding product experience informed through the runner in accordance with critical calendar deadlines to enable on time delivery of product to market. Collaborate cross functionally with the Run Research Team including biomechanists, physiologists, and data scientists to translate behavioral findings into actionable product direction. Communicate findings through visual storytelling and clear summaries that connect complex data to real runner needs. Cross functional teams with non-technical backgrounds must be able to build on ideas and provide feedback. Evolve methodologies to capture emerging aspects of running behavior - such as running environment and emotional engagement - ensuring a future-forward understanding of the run. Effectively translate research project findings and project status updates to product creation teams (Development, Product Line Management, Design). Provide articulate, persuasive, and actionable conclusions with recommendations for next steps and how projects will drive a positive business impact. Teach, train and present data science principles to other members of the Run Research Team. Present to technical and non-technical groups, clearly communicating data-driven insights. May manage up to 1 direct report. Other responsibilities as required.
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Job Type
Full-time
Career Level
Mid Level
Industry
Clothing, Clothing Accessories, Shoe, and Jewelry Retailers
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees