Senior Data Scientist - Forecasting (San Francisco)

Gap

Full-time - Senior

Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

The Senior Data Scientist - Forecasting at Gap Inc. is responsible for leading the development of advanced forecasting models that enhance inventory management strategies across various business functions. This role involves applying data analysis and machine learning techniques to drive business benefits, collaborating with multiple teams to build and deploy predictive analytics capabilities, and influencing data-driven decision-making within the organization.

Responsibilities

• Build, validate, and maintain AI (Machine Learning/Deep Learning) models, diagnose and optimize performance, and develop statistical models for ad hoc business-focused analysis.
• Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources.
• Manipulate large amounts of data across diverse subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols.
• Deliver sound, data-backed recommendations tied to business results, industry insights, and the overall Gap Inc. ecosystem of technology, platform, and resources.
• Communicate compelling, data-driven recommendations and potential trade-offs to influence leaders' and stakeholders' decisions.
• Build networks across the organization and partners to anticipate leader requests and influence data-driven decision making.
• Guide discussions and empower junior team members to identify best solutions.

Requirements

• Proven experience in forecasting, time series analysis, and predictive modeling.
• Strong background in supply chain analytics and inventory management.
• Experience with machine learning and deep learning techniques.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Ability to manipulate and analyze large datasets from various sources.

Nice-to-haves

• Experience in retail, supply chain management, or logistics is strongly preferred.
• Familiarity with data visualization tools and techniques.

Benefits

• Health insurance coverage
• 401k retirement savings plan
• Paid holidays and vacation time
• Employee discount programs
• Professional development opportunities