Data Scientist, Forecasting

Tapestry • New York, NY

153d • $130,000 - $145,000 • Hybrid

About The Position

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.

Requirements

• 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.

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.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401 (K)
• Paid Paternity and Maternity leave
• Commuter Benefits
• Disability insurance
• Tuition assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Clothing, Clothing Accessories, Shoe, and Jewelry Retailers
• Education Level: Bachelor's degree