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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Numero Data Salaries by Position

Job requirements: 5 years of experience ideal, but flexible EMR in AWS, Hadoop Large regulatory reporting application - supports 7 regulatory reporting use cases, for other banks this would have to be 7 different applications due to the scale Pulls data from all systems across C1, do large transformations and prepare regulatory reporting and report to the Fed daily Need good Data Engineers who can write good code in PySpark - full lifecycle of data pipelining & creating new PySpark pipelines Test automation is important - need to be able to write their own unit test code - 99.5% test coverage for this application Strong data engineering skills, not about writing SQL scripts, true PySpark pipelining with super strong code Databricks nice to have

Job requirements:• 5 years of experience ideal, but flexible• EMR in AWS, Hadoop• Large regulatory reporting application - supports 7 regulatory reporting use cases, for other banks this would have to be 7 different applications due to the scale• Pulls data from all systems across C1, do large transformations and prepare regulatory reporting and report to the Fed daily• Need good Data Engineers who can write good code in PySpark - full lifecycle of data pipelining & creating new PySpark pipelines• Test automation is important - need to be able to write their own unit test code - 99.5% test coverage for this application• Strong data engineering skills, not about writing SQL scripts, true PySpark pipelining with super strong code• Databricks nice to have

Numero Data Interview Questions

Numero Data Interview Guides

Numero Data Interview Questions

Numero Data Salaries by Position

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