Senior Data Scientist, Level 5

- 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

- Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

- 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

- 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

- 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 ; or a Master's degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience

- 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.

Zone A (CA, WA, NYC) : The base salary range for this position is $190,000-$284,000 annually.

Zone B : The base salary range for this position is $181,000-$270,000 annually.

Zone C : The base salary range for this position is $162,000-$241,000 annually.