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Data Scientist, Level 4

Snap Inc.· Data Science and Insights
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Hybrid (Bellevue / Los Angeles / New York / Palo Alto / San Francisco / Seattle)$157k - $235k + equityFull timePosted 2w ago

About the role

Data Scientist role at Snap Inc. focusing on quantitative analysis, data mining, statistical modeling, and actionable data insights to inform product and business decisions. Emphasizes collaboration across product, engineering, and design, and applying AI tools to build scalable data solutions while ensuring accuracy and statistical integrity.

Responsibilities

  • - Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
  • - Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
  • - Collaborate with product managers, engineers, product marketers, and designers
  • - Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

Qualifications

  • Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
  • 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Skills

Required:quantitative analysisdata miningstatistical modeling
Nice to have:SQL or big data queryingPython or R

Benefits

  • paid parental leave
  • comprehensive medical coverage
  • emotional and mental health support programs
  • compensation packages that let you share in Snap’s long-term success
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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