Data Scientist (L5) - Ads (Experimentation)

Netflix

Could you explain what a deadlock is, providing a specific example to illustrate the concept?

Netflix

Let's design a tool to evaluate GitHub repositories based on metrics like stars and forks. Functionality:** The tool should: Fetch data from the GitHub API (stars, forks, open issues, contributors, etc.) for a given repository. Calculate a popularity score based on a weighted combination of these metrics. For example, stars might have a higher weight than open issues. Allow users to compare multiple repositories side-by-side. Present the data in a clear and visual way (charts, graphs, tables). Allow users to customize the weights used in the popularity score calculation. Handle API rate limiting gracefully (e.g., caching, authentication). Include features for trending topics/repositories. Example:** A user wants to compare the popularity of facebook/react versus angular/angular. They should be able to enter these repositories into the tool and see a comparison table showing the number of stars, forks, open issues, and the calculated popularity score for each. The user should also be able to adjust the weight given to stars in the popularity score to see how it affects the overall ranking. Consider additional features like displaying the rate of growth over the last month/year. What are the key components, architecture, and considerations for building such a tool, and what technologies would you choose and why?

Netflix

Tell me about a time you had to make a difficult decision with incomplete information. What was the situation? What information was missing? What decision did you make and how did you arrive at it? What was the outcome? What did you learn from the experience? For example, perhaps you had to decide whether to launch a new feature without complete user testing data, or whether to pursue a new market opportunity without a full understanding of the competitive landscape. Maybe you had to make a critical hiring decision without all the information you needed about the candidate's past performance. The key is to show that you can assess risks, weigh potential outcomes, and make sound judgments even when things are uncertain. Be sure to articulate the reasoning that led you to your decision, and reflect on the lessons you learned from the experience. This demonstrates your adaptability, problem-solving abilities, and your capacity for learning and growth.