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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.

33,548 wissenschaftler interview questions shared by candidates

0) Tell about your current job and work experience. I) Conditional probability dice questions: a) Expected pay-off of a single roll single dice game (Entry fee $3). The amount the player gets is the face value of the dice. Ans: $3.5 - $3 = $0.5 b) Expected pay-off of a double roll single dice game(entry fee $4). Rule: the player can either hold or continue the game after the first roll. If the player continues the player forfeits the money received after the first round.Ans. $4.25(Expected values check stack overflow for the math) - $4 = $0.25 c) Which of a) or b) has a higher payoff. Ans. obviously game (a). 2) The probability of watching at least one star in 1 hr = 0.64. What is the probability of watching at one start in 30 mins? Ans. 0.4 (Again search StackOverflow) 3) What kind of casino machine would you recommend based on two options knowing that patrons play option B longer but the casino earns slightly less per hour from the machine than option A?
avatar

Data Scientist

Interviewed at Clover Health

3.6★
Aug 24, 2021

0) Tell about your current job and work experience. I) Conditional probability dice questions: a) Expected pay-off of a single roll single dice game (Entry fee $3). The amount the player gets is the face value of the dice. Ans: $3.5 - $3 = $0.5 b) Expected pay-off of a double roll single dice game(entry fee $4). Rule: the player can either hold or continue the game after the first roll. If the player continues the player forfeits the money received after the first round.Ans. $4.25(Expected values check stack overflow for the math) - $4 = $0.25 c) Which of a) or b) has a higher payoff. Ans. obviously game (a). 2) The probability of watching at least one star in 1 hr = 0.64. What is the probability of watching at one start in 30 mins? Ans. 0.4 (Again search StackOverflow) 3) What kind of casino machine would you recommend based on two options knowing that patrons play option B longer but the casino earns slightly less per hour from the machine than option A?

Without going into detail, they wanted both Python code for transforming raw data into data in some form from which one could make predictions, as well as a written description of what was done, why, and the modeling approach one would take.
avatar

Data Scientist

Interviewed at DICK'S Sporting Goods

3.8★
Feb 18, 2022

Without going into detail, they wanted both Python code for transforming raw data into data in some form from which one could make predictions, as well as a written description of what was done, why, and the modeling approach one would take.

(The only numerical question requiring Excel/Calculator) Finally, gave me a probability based, expected default rate question. The exact question was that the company has to calculate the expected default rate given the minimum return they look for is 15% over lease value. The given lease value was $1000, and the scaling factor (lease cost) was 60% of lease value. Another cost, the cost of service that the company bears is $50, which is taken from customer while making the deal. Now, to simplify there were only 2 possible outcomes mentioned which is full payment over 12 months or default before the payments start.
avatar

Data Scientist

Interviewed at Progressive Leasing

3.5★
Jan 27, 2025

(The only numerical question requiring Excel/Calculator) Finally, gave me a probability based, expected default rate question. The exact question was that the company has to calculate the expected default rate given the minimum return they look for is 15% over lease value. The given lease value was $1000, and the scaling factor (lease cost) was 60% of lease value. Another cost, the cost of service that the company bears is $50, which is taken from customer while making the deal. Now, to simplify there were only 2 possible outcomes mentioned which is full payment over 12 months or default before the payments start.

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