
Gametime United Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 7 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Gametime United.
Data Scientist
The process starts with a short screening call. Then, there's a take-home assignment with 5 questions focusing on SQL and Python. Finally, there are 3 interviews involving both technical team members and non-technical stakeholders.
- If the CFO reported a decrease in NFL sales, how would you approach investigating this problem and what hypotheses would you explore?
Data Scientist
Recruiter reached out online and the initial recruiter screening was fine. The next interview was a really bad experience. I waited online for 20 minutes and the interviewer never showed up. I emailed the recruiter right away and didn't hear back. Respecting job seekers' time is important. I've interviewed with other big tech companies and this has never happened before. Maybe this is what makes this company different (in a bad way) from others.
No confirmed questions were included in this interview report.
Data Scientist
The interview process was pretty straightforward. It started with a recruiter call to discuss my background. They really stressed the importance of knowing financial topics, specifically forecasting, time series modeling and analysis, and A/B testing and analytics. After that, there was a take-home assessment with 6 questions – 4 were SQL-based and 2 were open-ended data analysis tasks. It's important to read the questions carefully because they can be a bit ambiguous. I missed one question and didn't move forward.
- Can you describe your background?
- Do you have experience with forecasting, time series modeling and analysis?
- Are you experienced with A/B testing and analytics?
Gametime United Data Scientist Interview Questions
Quoted word for word from Gametime United interview reports.
“If the CFO reported a decrease in NFL sales, how would you approach investigating this problem and what hypotheses would you explore?”
Read reports →“Can you analyze this data?”
Read reports →“Can you explain average SQL questions?”
Read reports →“Tell me about basic product questions.”
Read reports →“Tell me about your experience with SQL aggregation questions (avg, count(*), etc.).”
Read report →“Do you have experience with forecasting, time series modeling and analysis?”
Read report →“Are you experienced with A/B testing and analytics?”
Read report →“Can you tell me about your experience with marketing analytics?”
Read report →“Can you describe a project you recently finished, from start to finish?”
Read report →Formats, difficulty and experience
Across all 7 Gametime United interview reports.