Java Programming, GAP, Python Programming, Database, SQL, LoadRunner, R Programming, ETL frameworks, Feature Extraction, Transformer
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.???
This 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
This position will be part of the Data Science Engineering team at Gap Inc, whose primary goals include building data products and infrastructure that support analytics and data science at scale. With business users all across the company, the team works cross-functionally to ensure reports, analytics, and models are supported by a stable, efficient, and accurate back-end.
What You'll Do
Who You Are
Notice to applicants in San Francisco: Gap Inc. and its related brands will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. The Fair Chance Ordinance is provided here: English Spanish Chinese Tagalog
Benefits at Gap Inc.
The Gap, Inc., commonly known as Gap Inc. or Gap, is an American worldwide clothing and accessories retailer. Gap was founded in 1969 by Donald Fisher and Doris F. Fisher and is headquartered in San Francisco, California.