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Snapchatposted 14 days ago
$133,000 - $235,000/Yr
Full-time • Mid Level
San Francisco, CA
Publishing Industries
Resume Match Score

About the position

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways. We're looking for a Data Scientist to join Snap Inc.

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

Requirements

  • BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience
  • 3+ years of experience in quantitative analysis & data science or a related field

Nice-to-haves

  • 3+ years of Experience using SQL or similar big data querying languages
  • 3+ years of Experience with programming language, such as Python or R
  • 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
  • Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research

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
  • Equity in the form of RSUs
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