Job Description

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

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