Data Scientist, Level 4

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

Knowledge, Skills and Abilities

• 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
• Ability to collaborate 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
• 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

Minimum 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
• 3+ years of post-Bachelor's experience in quantitative analysis and data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science; OR a Ph.D. in a relevant technical field

Preferred Qualifications

• 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

Pay

• Zone A (CA, WA, NYC): $157,000-$235,000 annually
• Zone B: $149,000-$223,000 annually
• Zone C: $133,000-$200,000 annually
• This position is eligible for equity in the form of RSUs

Schedule

This role follows a "default together" approach with an expectation to work in an office 4+ days per week.

Benefits

Benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success.