Snap Inc.

Senior Data Scientist

Snap Inc.

full-time

Posted on:

Location: California, New York, Washington • 🇺🇸 United States

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Salary

💰 $190,000 - $284,000 per year

Job Level

Senior

Tech Stack

PythonSQL

About the role

  • 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
  • Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions
  • Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
  • Communicate best practices in quantitative analysis and develop cross-functional partnerships

Requirements

  • Expertise using data modeling skills to identify key product trends and new product opportunities
  • Ability to design implement, and track core metrics to analyze the performance of our products
  • Ability to create visuals, dashboards, and reports to effectively communicate your insights
  • Experience collaborating with engineers, product managers, and other cross-functional teams
  • Ability to initiate and drive projects to completion with minimal guidance
  • An understanding of Snapchat with great product sense and product understanding
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Minimum Qualifications:
  • BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience
  • 5+ years of experience in quantitative analysis & data science or a related field Preferred Qualifications:
  • 5+ years of experience using SQL or similar big data querying languages
  • 5+ years of experience with programming language, such as Python or R
  • 5+ 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.
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