Senior Data Scientist, Level 5
$190,000–$284,000 year
On-siteSan Francisco, California, United States or Seattle, Washington, United States
Job Summary
Apply quantitative analysis, data mining, and statistical modeling to deliver actionable insights that optimize product creation and adoption. Conduct machine learning or statistical analyses to build scalable solutions for accurate predictions and effective optimizations. Collaborate with product managers, engineers, and designers to identify new opportunities within Snap's long-term roadmap. Utilize AI tools to develop efficient data solutions while maintaining rigorous standards for accuracy and integrity. Create visuals and dashboards to communicate complex quantitative analysis clearly across cross-functional teams. Drive informed decision-making to improve the quality and speed of business outcomes.
Required 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
- 5+ years of post-Bachelor's quantitative analysis and data science experience
- Master's degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience
- PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience
- 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
- Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices
- Work in an office 4+ days per week
Desired 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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