
Red Ventures Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 24 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Red Ventures.
Data Scientist
I had a phone screen with the recruiter and then was given a take-home assignment. They estimated it would take 3-4 hours, but it actually took me about 20 hours to complete, with multiple components and specific file structure requirements. I invested a lot of time in the assignment, but unfortunately, I never heard back. While being ghosted after a recruiter call is one thing, it would be good to at least get a response to a follow-up email when a candidate dedicates an entire week to a take-home task.
- Can you build a classification prediction model?
- What are the methods for evaluating an A/B split test?
Data Scientist Intern
Started with a phone screen with HR, covering basics like 'why this company'. Then, a second phone interview with a data science team member focused on general concepts like regression and discussed a past project. After that, a 4-hour take-home assessment involving a mini data science project with code, prediction, and report deliverables was assigned, with an extension granted due to a material delay. The final virtual onsite included several 1v1 chats with senior folks (no technical questions, surprisingly casual, like the presentation part) and a presentation on a past project to junior and senior members. It was a bit chaotic without a schedule for the 4-5 hours, so I didn't know who or what to expect or when breaks were.
- Why Red Ventures?
- Can you explain regression and its uses?
- Tell me about your project experience.
Data Scientist
Starts with a recruiter call to discuss your background. Then a technical interview with a data science team member who will ask about your previous work, a specific project, tools and methods used, and what you would change or add. If successful, you'll have an onsite interview. Before the onsite, you'll get a dataset and have 4 hours to perform predictive tasks and prepare a presentation for management. It's best to schedule this assessment a week before the onsite to allow ample time for crafting your presentation. The onsite involves a campus tour, followed by a series of interviews with data science team members. They'll want to understand your reasoning behind your actions, including a code review of your earlier assessment. There's a lunch break with coworkers. Throughout the day, remember to ask insightful questions. The day concludes with a behavioral interview with an upper manager from HR. Avoid scheduling the assessment too close to the onsite, as it can lead to sleep deprivation and reduced energy.
- What additional data would you propose to enhance the model you developed, and what's your reasoning?
Red Ventures Data Scientist Interview Questions
Quoted word for word from Red Ventures interview reports.
“What are the components of a bidirectional transformer?”
Read reports →“What other models could be used instead of logistic regression?”
Read reports →“Why is it important to look for outliers in data?”
Read reports →“What are the methods for evaluating an A/B split test?”
Read reports →“Can you build a classification prediction model?”
Read report →“Can you explain a machine learning algorithm?”
Read report →“Could you explain why it's important to check for outliers in data?”
Read report →“Can you explain the differences between various regression models?”
Read report →“Can you explain regression and its uses?”
Read report →Formats, difficulty and experience
Across all 24 Red Ventures interview reports.