
Mercor 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
Candidate interview experiences
First-hand accounts from people who interviewed at Mercor.
Data Scientist
It was an AI interview. Started with a screening, then a technical evaluation. Focused on analytical thinking, problem-solving, and understanding machine learning concepts. Also asked about past projects, how I've used AI tools in practice, and my communication skills.
- Could you share details about a machine learning project you undertook and outline the method you used to solve it?
Data Scientist
I went through a few quick 15-minute screening calls, but the first two people had totally different ideas of what the job was. Everything kept getting rescheduled or delayed, and nobody was ever on time. Then there was a 6-hour onsite thing, which involved some long assignments, but I can't tell you exactly what. That also got rescheduled because they couldn't coordinate times, and then they changed it again to split it over two days. After I didn't get the job, they gave me feedback about my onsite work that wasn't even right. They said I missed things that I actually included, so it felt like they either didn't really look at my submissions or were just trying to find a reason to reject me after I did the work.
- A case study question was presented.
- I was given a data analysis question to solve.
- There was a SQL coding interview segment.
Data Scientist
Had a quick chat with the hiring manager, then got invited for an onsite superday at their HQ. Later, there was a 10-minute chat with one of the founders. It was a pretty intense process with intense people. Not unpleasant, but not exactly pleasant either :)
- Be ready to tackle a business case study focusing on acquisition or retention.
- There will be a short, live SQL exercise.
- Expect questions on time series forecasting, which will require good stats knowledge.
Mercor Data Scientist Interview Questions
Quoted word for word from Mercor interview reports.
“How do you think a data scientist can use AI effectively in their daily work?”
Read reports →“How did you fine-tune BERT for your specific use case? Describe your approach to handling the training data and the results achieved after applying BERT to your text data.”
Read reports →“Can you expand on the fine-tuning process, including how you selected hyperparameters and the improvements observed post-tuning?”
Read reports →“Given your Python skills, how have you integrated Python with NLP libraries for text data preprocessing and analysis in your projects?”
Read reports →“Regarding your experience with BERT and other transformer models, can you provide a specific instance where you used BERT for a problem and how you adapted the model for your particular needs?”
Read report →“Describe a situation where you needed to optimize a model's performance after deployment, possibly due to shifts in data distribution or user feedback. How did you address this and maintain the model's accuracy and relevance?”
Read report →“Could you share details about a machine learning project you undertook and outline the method you used to solve it?”
Read report →“Focusing on your NLP work, could you detail how you've employed NLP techniques in your projects, especially any language processing challenges encountered and your solutions?”
Read report →“Let's start with your AWS experience. Can you describe a project where you used AWS services and identify the most crucial ones for its success?”
Read report →Formats, difficulty and experience
Across all 6 Mercor interview reports.