The interview process for a data scientist at Adobe takes around 2 or 3 weeks.

• Stage 1: Phone screen with recruiter
  
• Stage 2: 2 technical interviews
  Then the next two phone interviews are both technical. One emphasizes statistics and the other one focuses on coding.
  
• Stage 3: Onsite
  A 4-5 hour interview process after a presentation to a team of 15. The candidate gets interviewed by several people back-to-back, including engineers, data scientists, and VPs. The questions are about solving problems on the board related to econometrics, data and R.

• Q 1: Similar to the basic calculator problem in leetcode.
• Q 2: Explain your research topics
• Q 3: What is the difference between your methods and classic methods?
• Q 4: What kind of coding language do you use when handling a large-scale dataset?
• Q 5: Create confidence intervals for finite sampled population.
• Q 6: Logistic regression vs collaborative filtering for large scale categorical variable output regression with a large number of features.
• Q 7: Explain correlation colored plot and make a story about a plot drawn on a whiteboard.
• Q 8: Technical questions about data structure in Python/R and modeling experiences.
• Q 9: Difference between logit and probit models.
• Q 10: Check if an integer is a palindrome (do not convert the integer to string)
• Q 11: Given 2 sorted arrays of integers, code to find a number from each array such that their sum is closest to some integer K
• Q 12: What is the degree of freedom for lasso?
• Q 13: Generate all valid parentheses pairs of a given number of parentheses.
• Q 14: Some high level idea of the real-world-ish problems they're solving.

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