
Phreesia 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 Phreesia.
Data Scientist
It was a 5 stage interview process. First, I had an intro chat with a recruiter. Then came the technical questions. The third interview involved a fictional forecasting case. After that, I met with the manager for a deeper dive technical Q&A. The whole experience was pretty positive and everyone was friendly.
- Can you tell me about your general Data Science and ML knowledge?
- Do you have technical experience specifically with forecasting?
- What's your experience with forecasting?
Data Scientist
The interview process involved an initial HR call, followed by two more calls with the Director of Data Science and the VP of Analytics. After that, there was a take-home data challenge and a final on-site interview with various team members. It was a really smooth and positive experience. The recruiter was efficient and kept things moving, and I received updates promptly. It was great learning about the company by speaking with different people. The data science team is expanding and working on exciting projects that will significantly contribute to the company's growth. Although I didn't accept the offer, it was because I found another role that better aligned with my personal interests.
- Can you describe your past work experience?
- Please complete the assigned data challenge at home.
Data Scientist
The hiring process had 4 stages. It started with a recruiter call, a 30-minute chat about the role and my background. Then, there was a hiring manager interview that covered both technical and behavioral aspects. Next, I had to complete a take-home data challenge. Finally, I went through a panel interview with the team, which also involved technical and behavioral questions.
- What are some data preprocessing techniques you'd use before building a model?
Phreesia Data Scientist Interview Questions
Quoted word for word from Phreesia interview reports.
“What are some data preprocessing techniques you'd use before building a model?”
Read reports →“How do you assess model performance, and what metrics would you choose, along with your reasoning?”
Read reports →“What's the largest amount of data you've handled in a project?”
Read reports →“Can you tell me about your general Data Science and ML knowledge?”
Read reports →“Do you have technical experience specifically with forecasting?”
Read report →“What's your experience with forecasting?”
Read report →“Can you describe a project you completed, including the methods, tools, and processes involved?”
Read report →“Can you tell me about your background and a recent project you've worked on?”
Read report →“Can you describe your past work experience?”
Read report →Formats, difficulty and experience
Across all 7 Phreesia interview reports.