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.

• 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.

Demonstrates expertise in quantitative analysis, data mining, and statistical modeling to deliver actionable insights and optimize product decisions. Proficient in machine learning techniques and SQL, with a strong background in collaboration across cross-functional teams in a product-focused environment.

• Quantitative Analysis
• Machine Learning
• Statistical Modeling
• SQL
• Python

• Data Mining
• Statistical Techniques
• A/B Testing
• Inferential Methods
• Causal Methods
• Data Science
• Predictive Analytics
• Data Visualization
• Big Data Querying
• Statistical Rigor

• Creative Thinking
• Proactive Problem Solving
• Effective Communication
• Collaboration

• Bachelor's Degree
• Master's Degree
• PhD

• Social Media
• Online Advertising
• Digital Media
• Mobile Technology

• AI Tools
• Data Solutions