DISH Data Scientist Interview Questions
The questions to prepare for a DISH Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.
DISHUse joins, CTEs, and aggregations to compare Q1 conversion and revenue across customer segments and DISH channels.
DISH
ChimeUse joins, a CTE, CASE, and RANK to find low-rated feedback segments by channel, product, and region.
DISHUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastBuild a churn model that flags at-risk customers early using behavioral, billing, and support signals.
DISHExplain how to choose and evaluate a predictive model, then connect the output to a business decision.
DISHWalk through a past project using hypothesis testing and regression to turn data into a decision.
DISHExplain how you have designed and implemented A/B tests, including hypothesis setup, analysis, and decision making.
DISHTranslate customer feedback and usage data into clear product recommendations.
DISHChoose the best metric for a business goal and explain the trade-offs between precision, recall, F1, and threshold choice.
DISHTests churn modeling approach using behavioral data and actionable segmentation.
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