Tredence Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 56 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Tredence.
Tredence
Data Scientist
Entry Difficult Neutral experience No offer 5 rounds
Interview process
Take home Technical screen Technical screen Background check Offer
Interview formats
Technical Coding Other
So first, there was this Online test which was technical, and a lot of people got shortlisted from it. Right after that, on the same day, we had another Online test for communication, and no one was shortlisted after that round. Then came Technical Interview-1 and Technical Interview-2, and finally, the HR Interview.
Confirmed questions3 questions
- Coding question on DSA
- Coding question on SQL
- Coding question on ML
Tredence
Data Scientist
Mid Difficult Positive experience No offer 3 rounds
Interview process
Technical screen Technical screen Technical screen
Interview formats
Coding Technical Technical
The interview process started with a coding round that had 3 questions: one very tough SQL question and two very tough DSA questions. There were also MCQs covering data science, ML, and aptitude. This was followed by two technical interviews and one 1-hour round specifically for data science.
Confirmed questions4 questions
- They asked me to solve DSA questions live.
- They asked mostly about SQL.
- They asked about some machine learning algorithms like logistic regression.
Tredence
Data Scientist
Senior Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite Panel Background check Offer
Interview formats
Technical Behavioral
The interview process was a mess. Scheduling was chaotic; one round got rescheduled after I was already in the meeting, then moved up. I agreed to a final round late in the evening, but the interviewer was rude and rushed. Then, they called saying they wanted to do a third round again. I already had another offer and my joining date was close. I asked to move it up, but they declined, asked about my offer, and couldn't match the compensation. By the time they wanted to interview me, I had already started a new job. It was a terrible experience due to poor communication, constant rescheduling, lack of professionalism, and not meeting salary expectations.
Confirmed questions4 questions
- Can you discuss ML theory?
- What's your past experience with building ML models?
- Explain your choice of model for a past project.
Tredence Data Scientist Interview Questions
Quoted word for word from Tredence interview reports.
“Given an integer num, rearrange its digits to create the smallest possible value without leading zeros. For example, input 310 should become 103, and input -7605 should become -7650.”
Read reports →“What are Type 1 and Type 2 Errors? If someone actually has cancer but is predicted as not having cancer, which type of error is this?”
Read reports →“What's the difference between r-square and adjusted r-square, and what if an irrelevant feature is kept - will r-square increase or stay the same?”
Read reports →“If the r-square is 0.8, what does that mean and what are we interpreting from it?”
Read reports →“Find the middle of a linked list, and determine the height of a binary tree.”
Read report →“And what's the difference between linear and logistic, and why is logistic regression called regression if it classifies?”
Read report →“Can you explain the difference between R2 and adjusted R2?”
Read report →“What methods are there to determine the optimum k, what does silhouette score mean and how does it work?”
Read report →“Which of L1 and L2 is direction-based, and what are the pros and cons of k-means clustering?”
Read report →Formats, difficulty and experience
Across all 56 Tredence interview reports.