Senior Data Scientist, Core, Level 5

About the role

The Data Science and Insights team at Snap Inc. leverages massive data sets to deliver actionable insights that enhance business and product decisions. We seek a Senior Data Scientist to join our Core Data Science team.

Responsibilities

• Apply quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights
• Drive informed and timely decision-making to improve and optimize product creation, execution, and adoption
• Collaborate with product managers, engineers, product marketers, and designers to identify and size up new opportunities
• Conduct machine learning or statistical analyses and build pragmatic, scalable, and statistically rigorous solutions
• Communicate best practices in quantitative analysis and develop cross-functional partnerships
• Utilize AI tools to more efficiently develop scalable data solutions, maintaining rigorous standards for accuracy and statistical integrity

Requirements

• Expertise in data modeling, identifying key product trends, and new product opportunities
• Ability to design, implement, and track core metrics to analyze product performance
• Experience collaborating with engineers, product managers, and other cross-functional teams
• Initiate and drive projects to completion with minimal guidance
• Understand Snapchat and have great product sense and understanding
• Communicate complex quantitative analysis clearly and precisely
• Adaptability in learning and applying evolving AI systems and tools

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; 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

Preferred Qualifications

• 5+ years of experience using SQL or similar big data querying languages
• 5+ years of experience with programming languages 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

Benefits

Snap Inc. offers a variety of benefits including paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that align with long-term success. The position is eligible for RSUs.