Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso FICO (San Diego, CA) nel mese di dic 2016
Colloquio
I applied online and was contacted within 1 week by HR to forward them a resumé. Soon after, I was offered a phone interview which took ~1 hour.
Within a month, I was contacted again about scheduling a day to go in person to the office for a full interview. This interview consisted of multiple 1-2 person panels. Each panel was a back and forth conversation discussing my previous experience, or asking questions.
The company took me out to lunch, then after lunch I gave a 1 hour seminar talk with a short QA sessions after. There was one last panel at the end of the day.
Soon after I was offered the position.
Domande di colloquio [1]
Domanda 1
Many problem solving questions were asked, one example is what is the probability to get heads at least once when flipping a coin 10 times?
Ho presentato la mia candidatura tramite un'altra fonte. Ho sostenuto un colloquio presso FICO (San Diego, CA) nel mese di ago 2024
Colloquio
It was an almost full-day interview, starting with a presentation and then different rounds of interviews with team members and senior staff. Overall, it was smooth, and everyone was nice and friendly.
Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso FICO (San Diego, CA) nel mese di nov 2016
Colloquio
A recruiter contacted me to interview for the position of Analytical Scientist. The entire process took one week. I first interviewed with an HR person, then the department hiring manager then I was asked to come in for an in-person interview with. The in-person interview took about 3 hours and was asked moderately easy questions. No real technical question (i.e. no programming).
Domande di colloquio [1]
Domanda 1
1. I was asked about sampling designs. Data may be too large to fit into a model, so what's an appropriate sampling design? (More conceptual, less theoretical)
2. I was asked about data integrity and validation. Data cleaning, detecting anomalies, etc.
3. How would you handle missing data? What are some common statistical data imputation techniques?
4. How would you detect outliers? What is an influential outlier?
5. I was asked about model/variable selection process.
6. I was asked about technical skills: Python, Perl, C++, Unix
7. Why do you want to work at FICO?
