
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
We’re looking to understand how you approach 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
Machine Learning Case Studies (e.g. building and interpreting predictive models), Applied Statistics, and Causal Inference questions
Product Analytics
We're looking to test how deeply you understand Product Analytics, including understanding the user journey on Snapchat and defining success metrics, etc.
Experimentation & A/B Investigation
Deep understanding of standard A/B Testing and Experimentation (e.g. setup, metric tradeoffs, best practices, validity of test, and network effects etc.)
Collaboration
In a meeting with a XFN Partner (PM, Designer, Engineer, etc.), we’re looking to learn about how you will be a collaborator, tell stories with Data, help make an impact and solve problems.