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Korn Ferry Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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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?

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?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

Korn Ferry Salaries by Position

Senior Databricks Data Engineer (DPP) London Based (Hybrid) 6 months initial contract + ext Outside IR35We're looking for a Senior Databricks Data Engineer who has DPP Status (Databricks Partner Program). You'll design and build scalable data platforms, develop pipelines, and help deliver high-performance analytics solutions across cloud environments. Key Responsibilities<ul><li>Develop and optimise data pipelines and lakehouse solutions using Databricks.</li><li>Work across AWS, Azure, or GCP environments.</li><li>Implement best practices in data engineering, CI/CD, and testing.</li><li>Collaborate with partner and client teams on solution design and delivery.</li><li>Mentor junior engineers and contribute to reusable frameworks and accelerators.</li></ul>Skills & Experience<ul><li>Strong hands-on experience with Databricks, Python, SQL, and PySpark.</li><li>Solid understanding of Delta Lake, Unity Catalog, and MLflow.</li><li>Experience with DevOps tools (Git, CI/CD, IaC).</li><li>Excellent communication and stakeholder skills.</li><li>Databricks certification and partner or consulting experience are a plus </li></ul> About Korn Ferry Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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