Swish Analytics Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 15 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Swish Analytics.
Swish Analytics
Data Scientist
Mid Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Take home Technical screen Onsite
Interview formats
Technical Coding
I saw some negative reviews, but my experience was good. The recruiter was helpful and communicative. The process had 4 stages: first, a recruiter screening call, then a take-home assignment, followed by an interview with the Director, and finally an interview with the hiring manager.
Confirmed questions1 question
- Take-home assignment involving a soccer modeling problem
Swish Analytics
Data Scientist
Entry Average Negative experience No offer 2 rounds
Interview process
Take home Recruiter call
Interview formats
Technical
Recruiter reached out, had me do the same thing everyone else is posting about, predicting the next pitch from an MLB data set. I built a top notch jupyter notebook, then after, came here and saw that no one makes it past this stage. Made me regret putting in 8 hours of solid work into this notebook. The recruiter reaches out, says they are moving on with other candidates. Im fairly sure that they are just idea farming. Regardless the company is extremely disrespectful towards others time as they ask you to do a test and move on with pretty much no one. Don't waste your time on the test.
Confirmed questions1 question
- Can you predict the next MLB pitch from 2011 data?
Swish Analytics
Data Scientist
Mid Average Negative experience No offer 4 rounds
Interview process
Phone screen Technical screen Take home Onsite Panel
Interview formats
Technical Behavioral Coding Case
It started with a phone screen, then a behavioral interview with a team member that included some light technical questions. After that, there was a take-home assignment. The final stage was a meeting with the hiring manager and a team member to review the assignment and answer several technical questions.
Confirmed questions7 questions
- Can you explain the differences between various SQL JOIN types?
- Could you discuss questions regarding regression and collinearity?
- Regarding the take-home assignment, what was your approach, what other methods could you have used, and what would be your next steps?
Swish Analytics Data Scientist Interview Questions
Quoted word for word from Swish Analytics interview reports.
“Can you predict the next MLB pitch from 2011 data?”
Read reports →“Could you build a model to predict pitch type from MLB pitch data?”
Read reports →“Could you define gradient descent?”
Read reports →“Can you predict what type of pitch will be thrown next in Major League Baseball?”
Read reports →“Build a production-ready modeling pipeline for predicting a certain event.”
Read report →“Could you explain the concepts of L1 vs. L2 regularization?”
Read report →“Could you create a predictive model for pitching type in baseball?”
Read report →“Using the provided data, can you predict what the next pitch in an MLB game will be?”
Read report →“Can you predict a premier league data attribute?”
Read report →Formats, difficulty and experience
Across all 15 Swish Analytics interview reports.