Related to ml algorithms and nlp
Senior Data Scientist Interview Questions
3,380 senior data scientist interview questions shared by candidates
Just some basic statistics concepts, p value, some sql functions
Recruiter Call: Standard intro screen with TMAY, why I’m interested in the role, and some housekeeping questions. The recruiter was super responsive and helpful throughout the process, which made scheduling smooth and stress-free. Hiring Manager: Covered TMAY, relevant work experience, a few basic SQL questions, and a short case study where I calculated a break-even point. More about structured thinking than heavy math. Technical Round: 3 SQL questions (Leetcode medium difficulty). The last question was scenario-based: given two tables, write a query to calculate a KPI while thinking about edge cases like NULLs and duplicate accounts. Stage 4 – Behavioral with 2 Directors: Focused on TMAY, Why SoFi, relevant work experience (A/B testing, marketing analytics, stakeholder management), and where I see myself in 5 years. Stage 5 – Behavioral with Sr. Manager: Similar format: TMAY, Why SoFi, what I’m passionate about, and why I think I’m a good fit.
What do you look for in your next role
No difficult questions were asked.
Do you have experience building ML models
How would you write this objective function?
What kind of time series model would you use for this?
Describe to me a recent technical project, what was the most challenging part, how would you describe a complex mathematical model to a non-technical audience.
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