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Wissenschaftler Interview Questions

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Wissenschaftler Interview Questions

Bei einem Vorstellungsgespräch für Wissenschaftler wird von Ihnen Fachwissen und die nötige Erfahrung für die jeweilige Stelle erwartet. Häufig angesprochene Themen sind beispielsweise grundlegende statistische Methoden, Konzepte des maschinellen Lernens und Analyse von Fallstudien. Die befragende Person wird höchstwahrscheinlich auch Ihre Kommunikations- und zwischenmenschlichen Fähigkeiten beurteilen, die für eine effektive Arbeit im Team und das Einwerben von Drittmitteln unabdingbar sind.

Typische Bewerbungsfragen als Wissenschaftler (m/w/d) und wie Sie diese beantworten

Question 1

Frage 1: Was versteht man unter Konzept X? Was sind dessen Annahmen und wie wenden Sie dies an?

How to answer
So beantworten Sie die Frage: Im Grunde wird hierbei eine Lektion aus dem Lehrbuch für ein bestimmtes Konzept des maschinellen Lernens sowie dessen Bedingungen und Anwendungen abgefragt. Vermeiden Sie zu komplizierte Antworten. Geben Sie eine einfache und geradlinige Antwort, die zeigt, dass Sie gut mit dem Konzept vertraut sind.
Question 2

Frage 2: Nennen Sie ein Beispiel für ein Problem, dem Sie in einer früheren Position begegnet sind, und erläutern Sie, wie Sie es behoben haben.

How to answer
So beantworten Sie die Frage: Die befragende Person möchte Ihre Problemlösungskompetenzen in Erfahrung bringen. Wählen Sie überlegt eine schwierige Situation, die Ihre Fähigkeit zur Problemlösung optimal wiedergibt, und erklären Sie, was Sie unternommen haben, um das Problem zu überwinden. Es wäre von Vorteil, wenn das Problem auch für die gewünschte Position relevant ist.
Question 3

Frage 3: Wie würden Sie Drittmittel einwerben?

How to answer
So beantworten Sie die Frage: Falls Sie bereits erfolgreich Drittmittel zur Forschungsförderung eingeworben haben, können Sie die dabei verwendeten Methoden ansprechen. Falls nicht, heben Sie Ihre Fähigkeiten hervor, die bei der Mittelbeschaffung helfen können, wie das Verfassen von erfolgsversprechenden Förderanträgen und effektives Netzwerken.

33,448 wissenschaftler interview questions shared by candidates

1) Provided a table with user_id and dates they visited platform, find the top 100 users with the longest continuous streak of visiting the platform as of yesterday. 2) Provided a table with page_id, event timestamp and a flag for a state (which is on/off), find the number of pages that are currently on.
avatar

Data Scientist

Interviewed at Meta

3.6★
Apr 29, 2020

1) Provided a table with user_id and dates they visited platform, find the top 100 users with the longest continuous streak of visiting the platform as of yesterday. 2) Provided a table with page_id, event timestamp and a flag for a state (which is on/off), find the number of pages that are currently on.

There is a table that tracks every time a user turns a feature on or off, with columns user_id, action ("on" or "off), date, and time. How many users turned the feature on today? How many users have ever turned the feature on? In a table that tracks the status of every user every day, how would you add today's data to it?
avatar

Data Scientist

Interviewed at Meta

3.6★
Mar 29, 2017

There is a table that tracks every time a user turns a feature on or off, with columns user_id, action ("on" or "off), date, and time. How many users turned the feature on today? How many users have ever turned the feature on? In a table that tracks the status of every user every day, how would you add today's data to it?

They asked probability question: 1) The probability that item an item at location A is 0.6 , and 0.8 at location B. What is the probability that item would be found on Amazon website. 2). I have table 1, with 1million records, with ID, AGE (column names) , Table 2 with 100 records with ID and Salary then the interviewer gave me the following SQL script SELECT A.ID,A.AGE,B.SALARY FROM TABLE 1 A LEFT JOIN TABLE 2 B ON A.ID = B.ID + WHERE B.SALARY > 50000 ( HE ASKED TO MODIFY THIS LINE OF QUERY) How many records would be returned? 3. Give a csv file with ID, and Quantity columns, 50million records and size of data is 2gig, write a program in any language of your choice to aggregate the QUANTITY column.
avatar

Data Scientist

Interviewed at Amazon

3.5★
Oct 27, 2016

They asked probability question: 1) The probability that item an item at location A is 0.6 , and 0.8 at location B. What is the probability that item would be found on Amazon website. 2). I have table 1, with 1million records, with ID, AGE (column names) , Table 2 with 100 records with ID and Salary then the interviewer gave me the following SQL script SELECT A.ID,A.AGE,B.SALARY FROM TABLE 1 A LEFT JOIN TABLE 2 B ON A.ID = B.ID + WHERE B.SALARY > 50000 ( HE ASKED TO MODIFY THIS LINE OF QUERY) How many records would be returned? 3. Give a csv file with ID, and Quantity columns, 50million records and size of data is 2gig, write a program in any language of your choice to aggregate the QUANTITY column.

Given the following data: Table: searches Columns: date STRING date of the search, search_id INT the unique identifier of each search, user_id INT the unique identifier of the searcher, age_group STRING ('<30', '30-50', '50+'), search_query STRING the text of the search query Sample Rows: date | search_id | user_id | age_group | search_query -------------------------------------------------------------------- '2020-01-01' | 101 | 9991 | '<30' | 'justin bieber' '2020-01-01' | 102 | 9991 | '<30' | 'menlo park' '2020-01-01' | 103 | 5555 | '30-50' | 'john' '2020-01-01' | 104 | 1234 | '50+' | 'funny cats' Table: search_results Columns: date STRING date of the search action, search_id INT the unique identifier of each search, result_id INT the unique identifier of the result, result_type STRING (page, event, group, person, post, etc.), clicked BOOLEAN did the user click on the result? Sample Rows: date | search_id | result_id | result_type | clicked -------------------------------------------------------------------- '2020-01-01' | 101 | 1001 | 'page' | TRUE '2020-01-01' | 101 | 1002 | 'event' | FALSE '2020-01-01' | 101 | 1003 | 'event' | FALSE '2020-01-01' | 101 | 1004 | 'group' | FALSE Over the last 7 days, how many users made more than 10 searches? You notice that the number of users that clicked on a search result about a Facebook Event increased 10% week-over-week. How would you investigate? How do you decide if this is a good thing or a bad thing? The Events team wants to up-rank Events such that they show up higher in Search. How would you determine if this is a good idea or not?
avatar

Data Scientist

Interviewed at Meta

3.6★
Apr 23, 2021

Given the following data: Table: searches Columns: date STRING date of the search, search_id INT the unique identifier of each search, user_id INT the unique identifier of the searcher, age_group STRING ('<30', '30-50', '50+'), search_query STRING the text of the search query Sample Rows: date | search_id | user_id | age_group | search_query -------------------------------------------------------------------- '2020-01-01' | 101 | 9991 | '<30' | 'justin bieber' '2020-01-01' | 102 | 9991 | '<30' | 'menlo park' '2020-01-01' | 103 | 5555 | '30-50' | 'john' '2020-01-01' | 104 | 1234 | '50+' | 'funny cats' Table: search_results Columns: date STRING date of the search action, search_id INT the unique identifier of each search, result_id INT the unique identifier of the result, result_type STRING (page, event, group, person, post, etc.), clicked BOOLEAN did the user click on the result? Sample Rows: date | search_id | result_id | result_type | clicked -------------------------------------------------------------------- '2020-01-01' | 101 | 1001 | 'page' | TRUE '2020-01-01' | 101 | 1002 | 'event' | FALSE '2020-01-01' | 101 | 1003 | 'event' | FALSE '2020-01-01' | 101 | 1004 | 'group' | FALSE Over the last 7 days, how many users made more than 10 searches? You notice that the number of users that clicked on a search result about a Facebook Event increased 10% week-over-week. How would you investigate? How do you decide if this is a good thing or a bad thing? The Events team wants to up-rank Events such that they show up higher in Search. How would you determine if this is a good idea or not?

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