Director Data Interview Questions

2,763 director data interview questions shared by candidates

The interviewer with the most seniority (VP) expressed concern over my relatively shorter tenure ( average of 2-3 years) from my previous jobs, although I have been with my current company for almost 4 years. Not surprising, since the range of tenure among the 8 people I met is 8 to 25 years. Don't know if long tenure is CS culture, but at least in this department it is.
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Senior Manager, Data Analytics

Interviewed at Charles Schwab

3.7
Apr 20, 2013

The interviewer with the most seniority (VP) expressed concern over my relatively shorter tenure ( average of 2-3 years) from my previous jobs, although I have been with my current company for almost 4 years. Not surprising, since the range of tenure among the 8 people I met is 8 to 25 years. Don't know if long tenure is CS culture, but at least in this department it is.

What sparked your interest in LiveRamp? Describe a challenging customer experience that you were able to deescalate and handle with pose to rebuild the relationship with the customer Describe a moment you're proud of. How was is performance measured in your current role? What metrics/tools do you use to prioritize your account portfolio (what customers to focus on)
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Customer Success Manager, Data Partnerships

Interviewed at LiveRamp

3.3
Oct 1, 2021

What sparked your interest in LiveRamp? Describe a challenging customer experience that you were able to deescalate and handle with pose to rebuild the relationship with the customer Describe a moment you're proud of. How was is performance measured in your current role? What metrics/tools do you use to prioritize your account portfolio (what customers to focus on)

What's your understanding of spark dataframes? Explain the end to end ML project you have implemented in the past highlighting the data preparation, choice of algorithms, evaluation of algorithms and outcomes of the project.
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Director Data Science

Interviewed at Visa Inc.

3.8
Apr 15, 2025

What's your understanding of spark dataframes? Explain the end to end ML project you have implemented in the past highlighting the data preparation, choice of algorithms, evaluation of algorithms and outcomes of the project.

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