Gap Inc.

Director of Data Science - Recommendations and E-Commerce


PayCompetitive
LocationRemote
Employment typeFull-Time

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  • Job Description

      Req#: R189421

      About the Role

      As the Director of Data Science for Recommendations and E-Commerce AI at Gap Inc, you will be responsible for providing strategic leadership, vision, and direction to a high-performing team. You will lead the development and optimization of AI Systems that drive personalization for Gap’s digital business, working closely with cross-functional teams to deliver personalized and engaging experiences for our customers.

      What You'll Do

      Strategic Leadership:

      • Provide strategic direction for the development and evolution of an in-house Recommendation system.

      • Collaborate with executive leadership to align data science strategies with overall business objectives.

      • Own the roadmap for AI capabilities to drive Gap Inc.’s digital businesses.

      Team Management:

      • Lead, mentor, and inspire a team of data scientists, ensuring a collaborative and innovative work environment.

      • Foster a culture of continuous learning, professional development, and knowledge sharing.

      Algorithm Development:

      • Oversee the design, development, and implementation of advanced recommendation algorithms.

      • Stay abreast of industry trends and emerging technologies in search, recommendation systems, and E-Commerce Personalization.

      Cross-Functional Collaboration:

      • Collaborate with product managers, engineers, and UX designers to integrate data-driven insights into the product development lifecycle.

      • Work closely with stakeholders to understand business requirements and translate them into actionable data science initiatives.

      Experimentation and Optimization:

      • Drive continuous optimization efforts based on user feedback and performance metrics.

      Communication:

      • Communicate complex technical concepts and insights to non-technical stakeholders, providing regular updates on the performance of search and recommendation systems.

      • Present findings and recommendations to executive leadership.

      Who You Are

      • Proven experience in leading data science teams with a focus on digital commerce and recommendation systems.

      • Strong proficiency in Python

      • Expertise in machine learning techniques, natural language processing, and recommendation algorithms

      • Excellent leadership and communication skills with the ability to influence strategic decisions.

      • Experience with deploying production AI systems with real time latency

      • Proven people and team leadership

  • About the company

      Gap Inc. is the largest specialty retailer in the United States, and is 3rd in total international locations, behind Inditex Group and H&M. As of September 2008, the company has approximately 135,000 employees and operates 3,727 stores worldwide, of which 2,406 are located in the U.S.

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