Data Scientist Data Science Department Interview Questions

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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.
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Data Scientist

Interviewed at Openpay (Mexico)

3.2
Aug 9, 2021

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.

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.
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Data Scientist II

Interviewed at Hulu

4.2
Aug 21, 2024

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.

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