SLB Data Scientist Interview Questions
The questions to prepare for a SLB Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how to identify, assess, and handle missing values in SQL using NULL checks, COALESCE, and validation logic.
SLBRank oil wells within each region by total production and return the top three using PostgreSQL window functions.
SLBIdentify each user's consecutive website activity streaks using date arithmetic and SQL window functions.
Intuit Management Consultancy
Chewy
SuperhumanExplain Azure pipeline triggers and produce six PostgreSQL queries using UNION and window functions.
EXL ServiceAssesses applied ML skills, experimentation, and results from a time-boxed project.
SLBDescribe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.
SLBOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
SLBEvaluates system design tradeoffs and performance optimization through caching.
SLBTests foundational statistical knowledge and ability to reason about sampling distributions.
SLBTests product thinking and ability to translate user behavior into reliable, measurable metrics.
SLBIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
SLBSign up to see every question
Create a free account to unlock this list and practice real interview questions.