In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
El examen técnico te da un pequeño conjunto de datos con características de autos y su consumo en combustible. Te piden predecir el consumo de combustible y predecir las clasificaciones de los autos. El examen de confianza te hace preguntas tipo "¿qué es peor, violar a un niño o envenenar a una ciudad?", "¿con qué te identificas más: 'mi mala salud me hace infeliz' o 'me detesto a mí mismo'?". Quién sabe cómo lo califican o cómo concluyen de ahí si eres bueno o malo.
What is your most impressive project
Questions based on projects and Core Computer Science Fundamentals including programming skills.
What is the most important factor that affects revenue as it pertains to a grocery store?
What metrics have you used to evaluate a model in the past?
What will you do when a disagreement occurs?
Details: 2 SQL questions involving 3 different tables in a database: Table 1 contained subscription payment data by `subscriber_id` and `date` (renewal data, new subscription date), Table 2 contained subscriber personal details (gender, age, location, etc), Table 3 contained stream details by subscriber_id (subscriber_id, content_id, seconds streamed, timestamp, content_title). Question 1: find number of daily active subscriptions in 2019. Question 2: find number of male subscribers who watched at least 3 unique titles in August, being careful not to count titles that were streamed for less than 3 seconds.
- 1 Python question: build a class that takes an array as input, and define a function that tkaes
1. What is multicollinearity? 2. How can you detect Multicollinearity between variables? 3. How would you eliminate multicollinearity in data for use in a model?
Could you describe your routine day at previous position?
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