Tapestry-posted 3 months ago
$130,000 - $145,000/Yr
Full-time • Mid Level
Hybrid • New York, NY
Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

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.

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