Tapestry Data Scientist, Forecasting

Tapestry is a leading house of modern luxury lifestyle brands, encompassing Coach, Kate Spade, and Stuart Weitzman. As part of a global conglomerate, Tapestry is committed to fostering creativity and innovation while maintaining a focus on sustainability and social responsibility. The company offers a dynamic environment that encourages professional growth and development.

1. Develop and implement advanced forecasting models to optimize supply chain operations.
2. Analyze large datasets to identify trends and patterns that inform demand planning and merchandising strategies.
3. Collaborate with cross-functional teams to integrate data-driven insights into retail and sales operations.
4. Provide actionable recommendations to enhance inventory management and reduce operational costs.
5. Continuously refine forecasting methodologies to improve accuracy and efficiency.

1. Bachelor's degree in Data Science, Statistics, or a related field.
2. Proven experience in data analysis and forecasting within the retail or supply chain sectors.
3. Strong understanding of statistical modeling and machine learning techniques.

1. Proficiency in programming languages such as Python or R.
2. Expertise in data visualization tools like Tableau or Power BI.
3. Strong analytical and problem-solving skills.
4. Excellent communication and collaboration abilities.

A minimum of 3 years of experience in data science or a related field, with a focus on forecasting and supply chain analytics.

Bachelor's degree in Data Science, Statistics, or a related field.

Tapestry offers a comprehensive benefits package, including health insurance, retirement plans, and employee discounts on luxury brands.

Tapestry prides itself on a culture of inclusivity and innovation, where employees are encouraged to bring their unique perspectives to the table. The company values sustainability and social responsibility, fostering an environment where creativity and collaboration thrive.