I applied through an employee referral. I interviewed at Ford Motor Company (Detroit, MI) in Jun 2021
Interview
Medium level interviews, most based on behavior questions and resume based. Usually last anywhere between 30 minutes to an hour. STAR based approach is the best way to answer the questions
Interview questions [1]
Question 1
Talk about a time where you were part of a major feature/initiative?
One interview over webex and they asked about Operation Research and Data Science. Supply Chain and Logistics was also a part of it. Data Analysis was also required. So it was a combination of all of these!
Interview questions [1]
Question 1
Operations Research and Optimization and Supply Chain
2 rounds of interviews. 1st round is a phone screening with HR. They asked about some bq questions. 2nd round is the onsite which includes the tech round and presentation. Not hard.
I applied through other source. I interviewed at Ford Motor Company
Interview
HM screening, asked specific python experiences, work experiences, project related questions. HR is responsive, Overall, it's okay. A typical interview process. HR screening, HM screening and assessment, and final interviews.
Data Scientist applicants have rated the interview process at Ford Motor Company with 2.9 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 68% positive. To compare, the company-average is 67.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 32 days to get hired, when considering 31 user submitted interviews for this role. To compare, the hiring process at Ford Motor Company overall takes an average of 29 days.
Common stages of the interview process at Ford Motor Company as a Data Scientist according to 31 Glassdoor interviews include:
Phone interview: 18%
Group panel interview: 17%
Presentation: 15%
One on one interview: 11%
Drug test: 10%
Skills test: 10%
Background check: 7%
Personality test: 4%
IQ intelligence test: 4%
Other: 4%
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