WD Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 18 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at WD.
WD
Data Scientist Intern
Intern Difficult Negative experience No offer 1 round
Interview process
Technical screen
Interview formats
System Design
the first part was a system design round where I had to explain how to scale a model from scratch to deployment and also think about scalability issues and what to do if the model fails
Confirmed questions3 questions
- Can you explain how you implemented the solution to the problem?
- How did you implement the question?
- Describe your implementation of the question.
WD
Data Scientist
Entry Average Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral
It wasn't too bad, the person interviewing me was really modest. I'm hoping to get to the second round, even though they tried to negotiate the salary, which is a bit stingy for an MNC. Still waiting for the results.
Confirmed questions1 question
- In what ways would you identify and enhance efficiency on the production line?
WD
Data Scientist
Mid Average Negative experience No offer 2 rounds
Interview process
Take home Technical screen Technical screen
Interview formats
Technical Coding Other
The OA had 40 MCQs split into ML and Maths, plus Aptitude. Then there were 2 elimination rounds. Round 1 focused on projects, feature engineering, Python, and ML. Round 2 covered projects, ML, and Deep Learning. Usually, one candidate is picked after all interviews. The company is SanDisk, not Western Digital; they've separated again.
Confirmed questions1 question
- Can you explain the difference between the sigmoid and tanh activation functions?
WD Data Scientist Interview Questions
Quoted word for word from WD interview reports.
“Can you explain the difference between the sigmoid and tanh activation functions?”
Read reports →“Can you define and explain machine learning?”
Read reports →“How would you describe the data science pipeline?”
Read reports →“What was your reasoning for selecting this particular classifier instead of an alternative one?”
Read reports →“What is your approach when a dataset is insufficient for model creation?”
Read report →“In what ways would you identify and enhance efficiency on the production line?”
Read report →“Can you solve this programming problem?”
Read report →“Were all these projects completed by you alone?”
Read report →“Can you explain the loss function used in ML models based on your resume?”
Read report →Formats, difficulty and experience
Across all 18 WD interview reports.