Sezzle 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 Sezzle.
Sezzle
Data Scientist
Entry Easy Negative experience No offer 2 rounds
Interview process
Take home Recruiter call
Interview formats
Technical Coding
This was the worst interview experience. They sent all questions via email and a take-home assignment with a 72-hour deadline. Even with a great submission, they didn't respond. It was a complete waste of time, and I never heard back after following up 3-4 times.
Confirmed questions1 question
- Perform an Exploratory Data Analysis on the Breast Cancer dataset as a take-home assignment.
Sezzle
Data Scientist
Mid Easy Positive experience Accept offer 2 rounds
Interview process
Take home Technical screen Recruiter call Background check Offer
Interview formats
Coding Technical Behavioral
The interview process consisted of two main parts: a coding challenge and a personal interview. The coding challenge required working with a cancer dataset, applying various Machine Learning models and techniques to achieve optimal predictions. Following that, the Hiring Manager conducted a personal interview, discussing my background and probing my knowledge across different Data Science domains. I was quite pleased with how the entire process was handled; it felt like they genuinely valued the candidates. I was a bit swamped with work, but they were accommodating and granted me an extension on the challenge deadline. Since I wasn't physically in Minneapolis at the time, they arranged for a remote interview, which was super convenient. They even adjusted my start date to align with my planned vacations.
Confirmed questions1 question
- Discuss dimensionality reduction, class imbalance, SQL, probability, Python, TensorFlow, and ML models.
Sezzle
Data Scientist
Mid Average Negative experience No offer 2 rounds
Interview process
Take home Recruiter call
Interview formats
Technical Coding
Another time wasting company. They gave me a dataset for cancer prediction and asked so many things to complete that project. When I completed all and sent it, they stopped responding to my calls and didn't even give feedback. I don't understand why the company did this sort of unprofessional behavior.
Confirmed questions5 questions
- Could you provide a confusion matrix and explain its role in assessing result reliability?
- How can a learning curve help determine if a model is over-fit or under-fit?
- Under what circumstances would you add a regularization parameter to a model, and how does it enhance performance?
Sezzle Data Scientist Interview Questions
Quoted word for word from Sezzle interview reports.
“What is the difference between K-Means and KNN?”
Read reports →“When should logistic sigmoid, tanh, and Fourier be used as basis functions?”
Read reports →“How can a learning curve help determine if a model is over-fit or under-fit?”
Read reports →“Under what circumstances would you add a regularization parameter to a model, and how does it enhance performance?”
Read reports →“Could you provide a confusion matrix and explain its role in assessing result reliability?”
Read report →“Can you briefly explain the application of reinforcement learning in fraud detection models?”
Read report →“What basic ML concepts are relevant to the challenge presented?”
Read report →Formats, difficulty and experience
Across all 6 Sezzle interview reports.