
General Mills Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 21 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at General Mills.
Data Scientist
Applied through a referral. The interview was set up on MS Teams with a junior person. They didn't introduce themselves or talk about the role, just jumped straight into questions. The interviewer seemed to lack understanding of the real-world challenges in implementing Data Science projects. The hiring manager showed up for the last 5 minutes, even though they initially said they'd only need 5 minutes at the start. Felt like a waste of time.
- Could you tell me about the data science projects you have worked on before?
- Can you share details about a different project?
Data Scientist
The recruiter reached out because they're actively hiring Senior Data Scientists for their eCommerce team. She set up a technical interview with a Data Scientist who seemed to have only 2-3 years of experience. He thought I was a good fit, but a few days later, I got a rejection. The hiring manager never even talked to me. I heard they're hiring aggressively. My interview was like another person's but didn't involve Codility. It felt like a waste of time.
- Can you describe some projects you've worked on in your current role?
- What were some of the challenges you encountered during those projects?
- Could you explain PCA?
Data Scientist
Applied online and got an email within a week to schedule a phone interview, which happened about a week later with the hiring manager. After that, I was invited for an on-campus interview which included a 90 min case study prep, one-on-one chats with HR and others in the hiring group, and presenting the case study. I thought the whole thing was really well done, better than I expected. I particularly liked the case study part because I could show how I think analytically, and also the lunch with a "peer" was great for learning about the job and the team's vibe. Got a call back within 3 business days. They do a background check that's pretty thorough and takes about 4 weeks.
- Can you tell me about a time you showed you're a good listener?
- Tell me about a statistical model you're currently using in your job.
- What's the difference between random and fixed effects, and what do they account for?
General Mills Data Scientist Interview Questions
Quoted word for word from General Mills interview reports.
“What's the difference between random and fixed effects, and what do they account for?”
Read reports →“What are the assumptions for linear regression, and can you explain multicollinearity?”
Read reports →“What do you do when the data you train your model on is different from the data you test it on?”
Read reports →“Between R and Python, which data analysis tool do you prefer and why?”
Read reports →“How would you explain linear regression coefficients to someone in a business role?”
Read report →“Share an instance where a predictive model provided a surprising insight that differed from everyone else's expectations.”
Read report →“Could you review an existing data science notebook and provide your assessment?”
Read report →“Based on the analysis performed by a junior data scientist, what recommendation would you give to a client?”
Read report →“Thinking about Betty Crocker's website, how would you approach building a recipe recommendation system? What questions would you ask? How would you check if the model is working well? How would you deploy it?”
Read report →Formats, difficulty and experience
Across all 21 General Mills interview reports.