Snap Inc.

San Francisco, California, USA
5,500 Total Employees
500 Local Employees
Year Founded: 2011
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Teams at Snap Inc.

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Product + Tech Team

“We’re confidently nerdy.” That’s how one teammate described the culture at Snap’s SF office, home base to technologists actively shaping its popular Discover tab, the recently launched Happening Now news banner and features like Snap Map. As the company pairs expanded editorial offerings with its longstanding creative fare, it’s the engineers, data scientists and colleagues from other departments that make the content fun, fresh and consumable for millions of Snapchatters around the globe.

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Snap Inc.

Principal Software Engineer

13 Hours Ago
Palo Alto, CA, USA
Hybrid
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Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Principal Software Engineer at Snap Inc, you will design, implement, and scale key engineering components for strategic initiatives. You'll collaborate across teams to fulfill product requirements, advocate for best practices in system availability and operational excellence, and provide technical direction that shapes company initiatives.
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Snap Inc.

Senior Data Scientist, 5+ Years of Experience

19 Hours Ago
San Francisco, CA, USA
Hybrid
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Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Sr. Data Scientist will leverage quantitative analysis and statistical modeling to derive actionable insights for product optimization. Responsibilities include collaboration with cross-functional teams, conducting machine learning analyses, and driving data-informed decision-making processes within Snap's product teams.
Snap Inc. Logo
Snap Inc.

Senior Data Scientist, 5+ Years of Experience

19 Hours Ago
Palo Alto, CA, USA
Hybrid
Apply
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Senior Data Scientist will leverage quantitative analysis, data mining, and statistical modeling to provide actionable data insights that influence product decisions. They will drive project completion with minimal guidance, collaborate across teams, and communicate findings effectively to optimize product performance and identify new opportunities.
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