DS&I Interview Prep
Data Science and Insights
The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
Explore our teams
Data Science
Our Data Science team seeks to leverage our massive data sets into actionable insights that deliver product and business value across Snap, working in highly collaborative environments. Because of this, our interview process aims to assess relevant knowledge, skills, and abilities in alignment with our Product Management and company values.
Track specific interview prep
Click to each track to get the technical competencies.
Data Science
Coding
Questions cover your approach to coding and data manipulation using SQL and Python/R, including writing clean, efficient queries and scripts, applying best practices, and solving practical data problems.
Applied Statistics & Machine Learning
Expect questions on machine learning case studies, applied statistics, and causal inference, including building and interpreting predictive models and applying statistical reasoning to real-world problems.
Product Analytics
This topic examines your understanding of product analytics, including the Snapchatter journey on Snapchat, defining success metrics, and using data to evaluate product performance and inform decisions.
Experimentation & A/B Investigation
The interview covers standard A/B testing and experimentation, including test setup, metric tradeoffs, best practices, test validity, and network effects.
Collaboration
A meeting with a cross-functional partner, such as a PM, Designer, or Engineer, explores how you collaborate, tell stories with data, drive impact, and solve problems.