I applied through a recruiter. I interviewed at Microsoft
Interview
several steps including series of technical interviews that tested individual on data structures and algorithms. time complexity as well. Second was a personality test to see how you fit within a team environment that is fast pace and constantly innovative
Feeling great about the outcome now, I can say it was a challenging but rewarding experience. After a rigorous technical round where I had to choose classification metrics under asymmetric costs and explain SHAP while building an ML project, I was surprised by a question on precision and recall that was almost the same as one I had practiced on PracHub. The overall process was intense, but I learned a lot and ultimately received an offer that I happily accepted.
Interview questions [3]
Question 1
Choose Classification Metrics Under Asymmetric Costs
A entrevista consistiu em um teste técnico online com algumas perguntas tecnicas do hackerrank que deveriam ser respondidas em um periodo de tempo predefinido (acho que dentro de 1 horas).
Feeling thrilled to have accepted the offer, I look back on this interview process as both challenging and rewarding. It began with a technical round where I tackled a complex A/B testing design question, followed by a SQL query on user retention. The final stages included a system design discussion that had me sweating, but honestly, the system design section on PracHub prepared me well. Each step pushed my limits, but the culmination was definitely worth it, landing me a role at Microsoft.
Interview questions [2]
Question 1
Design an A/B test to measure the impact of a new ranking change in Bing, and explain how you would handle network interference between treatment and control users.
Write a SQL query that computes 7-day rolling user retention from a daily events table, then flags cohorts whose week-over-week retention dropped more than 10%.
Data Scientist applicants have rated the interview process at Microsoft with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 54% positive. To compare, the company-average is 66.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 27 days to get hired, when considering 140 user submitted interviews for this role. To compare, the hiring process at Microsoft overall takes an average of 30 days.
Common stages of the interview process at Microsoft as a Data Scientist according to 140 Glassdoor interviews include:
Phone interview: 32%
One on one interview: 22%
Skills test: 14%
Presentation: 11%
Background check: 5%
Personality test: 4%
Other: 4%
IQ intelligence test: 4%
Drug test: 3%
Group panel interview: 2%
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