Job Specifications
We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible.
At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach & Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.
A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive.
Primary Purpose
The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency.
Key Responsibilities
Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others.
Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms.
Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models.
Scale forecasting methodology and drive increased accuracy and flexibility.
Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity.
Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models.
Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs.
Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership.
Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility.
Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies.
Qualifications
Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred).
3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role.
Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn).
Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures.
Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance.
Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders.
Proven ability to thrive in fast-paced, cross-functional environments.
Ability to work with ambiguity and prioritize requests and multiple stakeholders.
Knowledge of retail operations, merchandising, and supply chain processes is a plus.
Our Competencies for All Employees
Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line ori