Data Scientist

• You will partner with cross-functional teams to develop data-driven insights, predictive models, and optimization solutions for Nike's apparel and footwear product merchandising, design and development functions.
• Leveraging your deep expertise in statistical analysis, machine learning, and applied data science you will help solve complex problems across the apparel and footwear product lifecycle.
• You will be responsible for developing scalable models, conducting exploratory data analysis, and generating actionable insights that drive data-driven decisions for our merchants and creators.
• Developing and implementing statistical models and machine learning algorithms to analyze relevant structured and unstructured datasets and variables (Merchandising Product Lines and Assortments, Apparel & Footwear Design and Development, Sales, Consumer Behavior, Market Trends etc.).
• Developing ML models and planning end-to-end ML model experiment design.
• Understanding and translating business needs and objectives into the appropriate modeling technique.
• Applying hypothesis testing, regression, A/B testing and time-series forecasting to product creation decisions and timelines.
• Building and maintaining predictive/prescriptive models for scale working closely with ML Engineers to turn successful prototypes in to new AI products.
• Working closely with product and engineering teams to build, support, and scale these data-driven insights into product merchandising plans & assortments and product design recommendations.
• Evaluating existing ML and statistical products to ensure continued high-quality results and outputs.
• Performing data and error analysis to improve model performance.
• Creating clear and compelling visualizations to communicate findings and recommendations.
• Identifying and making recommendations on analytical tools, research tools, methods.

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