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Sr Data Scientist Interview Questions
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Difference between random forest and boosted trees? What is boosting? Which will have greater depth if you perform hyperparameter tuning.
SQL A/B testing question: Q: You are tasked to analyze an experiment called thanksgiving-coupon. Instacart users in this experiment are randomly assigned to “incentive” group or “nonincentive” group. Users in the “incentives” group get an email with $10 off for their next order, and users in the “no incentives” group get an email reminding them to stock up groceries for the Thanksgiving weekend. The $10 off coupon expires on 11/29/2020 (Sunday) 11:59pm PST. How would you analyze this experiment? You have the table Experiments, which contains experiment assignments for Instacart users. Fields: user_id experiment: experiment name group_ind: experiment group a user is assigned to assigned_at_utc: assignment timestamp. You also have the Orders table, which contains all orders from a user. Fields: user_id order_id order_created_timestamp_utc order_amount_usd You can use this code to convert time zones: order_created_timestamp_utc at time zone 'utc' at time zone 'pst' You also have the Coupon_spend table, which contains the redeemed thanksgiving-coupon for an order. Fields: user_id order_id coupon_spend
How to do power analysis for an A/B test.
Lei ha già fatto una introduzione alla compagnia ?
1: How would you add additional user/item features in a factorization matrix for recommenders?
3: You have website/place that gets 10% of conversion. Given a classifier model that predicts if an user will convert or not, with a true positive rate of 1 and true negative of 0.5. Say which is the probability of getting true positive values.
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Describe a method you'd use to help make a decision home pricing Explain a method that you're familiar with that you believe will be useful to Open door
How can you become a Data Scientist when you started from Infosys?
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