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UC San Francisco Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 6 interview experiences · FREE TO READ

2.2 Rounds average
Average Typical difficulty
66.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at UC San Francisco.

Showing 3 of 6
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UC San Francisco

Data Scientist

Analytics · half a year ago

Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical

Since the role was for a small lab, I think there were only one or two interview rounds. The PI and lab manager interviewed me. They asked a lot of questions about my grades from undergrad and masters, not just my GPA but specific course grades, which I found a little strange. Apart from that, they asked the typical behavioral questions and some about DS/ML applications and projects.

Confirmed questions5 questions
  • Could you provide an overview of your resume?
  • Could you elaborate on your specific course grades from both your undergraduate and master's degrees?
  • What were your GPA and specific course grades during your undergraduate and master's studies?
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UC San Francisco

Data Scientist Intern

Analytics · a year ago

Intern Easy Positive experience Accept offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

The whole interview thing was super easy and went really well. It was mostly just simple questions about me, which made it not stressful at all. My mentor was the one interviewing me and they were really nice and helpful, making it feel chill and comfortable.

Confirmed questions1 question
  • Can you tell me about your resume?
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UC San Francisco

Data Scientist

Analytics · more than a year ago

Mid Difficult Positive experience Decline offer 3 rounds
Interview process
Take home Technical screen Onsite
Interview formats
Case Technical Behavioral

The interview process included a take-home case study, which was a 3-hour assignment to analyze a generic dataset and present findings. Following that, there was an in-person interview with the entire 8-person team, and then a smaller technical interview specifically with the data science team.

Confirmed questions2 questions
  • What is your approach to acceptance testing an A/B test?
  • Can this type of modeling address particular questions?

UC San Francisco Data Scientist Interview Questions

Quoted word for word from UC San Francisco interview reports.

Given a string S and a list of words L, find all starting indices of substrings in S that are formed by concatenating all words from L in any order.

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What were your GPA and specific course grades during your undergraduate and master's studies?

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Can you detail the grades you received in specific courses during your undergraduate and master's programs?

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Tell me about your academic performance, including specific course grades from your undergraduate and master's degrees.

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Could you elaborate on your specific course grades from both your undergraduate and master's degrees?

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Formats, difficulty and experience

Across all 6 UC San Francisco interview reports.

Interview formats

Behavioral 45.5%
Technical 18.2%
Coding 18.2%
Presentation 9.1%
Case 9.1%

Interview difficulty

Easy 33.3%
Average 50%
Difficult 16.7%

Candidate experience

Negative 33.3%
Positive 66.7%