Principal Data Scientist - Recommender Systems

Principal Data Scientist - Recommender Systems

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About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age, or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.

Our simple idea—that we all deserve to belong, and on our own terms—is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity, and lead boldly? Join our team.

About The Role

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. As a principal data scientist, you will have significant technical expertise and vision to drive end-to-end development of complex real-time personalization AI systems.

This role is located onsite in San Francisco, Pleasanton, or Dallas.

What You'll Do

• Build, validate, and maintain AI (Machine Learning/Deep Learning) models focused on customer personalization; diagnose and optimize performance.
• Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large data sets from multiple sources.
• Manipulate large amounts of data across diverse subject areas, collaborating with data scientists and engineers to prepare data pipelines for various modeling protocols.
• Communicate meaningful, actionable insights from large data and metadata sources to stakeholders.
• Collaborate on key initiatives and their implementation.
• Plan, budget, and set strategic direction for the team.

Who You Are

• Experience building real-time recommender systems for digital commerce.
• Proficiency in R, Python, Spark, Hive (or other MapReduce), and scripting languages for end-to-end data pipelines.
• Experience with ML and predictive techniques such as logistic regression, decision trees, neural networks, boosted trees, content/collaborative filtering, SVM, TensorFlow, and visualization tools, with a proven track record of business impact.
• Ability to work at both detailed and strategic levels, summarizing findings and making recommendations.
• Strong collaboration skills and ability to influence product and analytics roadmaps.
• Ability to evaluate complex situations using multiple information sources.
• Deep understanding of concepts within own area and related procedures.

Benefits at Gap Inc.

• 50% discount at our brands for regular-priced merchandise, 30% at Outlet.
• Competitive paid time off.
• Volunteer hours each month.
• Extensive 401(k) with company match.
• Employee stock purchase plan.
• Medical, dental, vision, and life insurance.
• Additional benefits detailed on our website.

Gap Inc. is an equal opportunity employer committed to diversity and inclusion. Recognized for our commitment to equality, we foster a workplace free from harassment and discrimination.

Salary Range: $201,700 - $267,300 USD. Compensation varies based on experience, skills, and location.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and IT
• Industry: Retail