Question: I was asked about my most memorable project and then about A/B testing different search engine algorithms, including designing metrics and the experiment itself.
Round 2: Technical Discussion
Question: I was asked about the impact of different weather conditions on mental health, including dealing with confounders. I was also asked about my most challenging research task and how I achieve my goals.
Details
Preparation Tips & Key Takeaways
What I Learned
I need to be prepared to discuss my past projects in detail, focusing on the impact and challenges.
I should have a solid understanding of experimental design principles, especially in the context of A/B testing.
Causal inference and the handling of confounders are important topics for data science research roles.
Recommended Preparation
Technical Skills
Review statistical concepts related to A/B testing and experiment design.
Brush up on methods for addressing confounders in research studies.
Behavioral Preparation
Prepare detailed stories about my research projects, highlighting the challenges and my approach to solving them.
Reflect on the most challenging aspects of my research experience and how I overcame them.
Resources I Recommend
Online courses on A/B testing and experimental design.
Research papers on causal inference methods.
Common Pitfalls to Avoid
Being unprepared to discuss past projects in detail.
Lacking a strong understanding of experimental design principles.
Failing to address the potential impact of confounders in research studies.