Talkspace Data Scientist Interview Questions
The questions to prepare for a Talkspace Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
TalkspaceDesign an A/B test to determine whether a new onboarding message changes downstream user behavior without harming key guardrails.
TalkspaceIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
TalkspaceTests metric selection and risk management to ensure improvements do not harm user outcomes.
TalkspaceCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
TalkspaceExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
TalkspaceTests applying statistical reasoning to support a business decision with clear assumptions and conclusions.
TalkspaceSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.
Curefit
ReachMobi
IndeedUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest Partners