Hi guys, I’m prepping for my final round for a DS product analytics role at FB and I’m struggling to find resources for the Applied Data portion of the interview. If you’ve gone through the process could you please help me with resources or sample questions that I can use to better prep? Also if you’re a DS at FB and would be open to a conversation please let me know! I really really want this position and I would love to pick your brain! #data #datascience #facebook #interview
How many YOE and is this for L5? If I recall from my experience interviewing for this position a year or so ago, the recruiter linked me to a "mock interview" hosted by two data scientists that were going over an example of the applied data interview - I would reach out to see if they can direct you to that. In general, I would train yourself to designing predictive models for the context given (i.e. what data would be appropriate to pull, which predictors among the data would be best to use, and what is the actual prediction you are making)? Be sure to use the whiteboard (or virtual) to draw out your thoughts - using graphs is probably a good idea, especially if the problem has to do with a given population.
Why would DS analytics need to know predictive modeling? I would imagine for Analytics role it's mostly designing metrics and measuring success
OP Can you guide me on the interview process for each round and what to focus on? I am about to go with the same for first round in next week.
Hero23, are you interviewing for Data Analytics or Data Science?
Hero23, have you gone through the process yet? Would you mind sharing the interview process and expectation?
Is anyone still interviewing for this role? I had my first round today. Figures crossed.
I had my virtual onsite today! Good luck!
Anyone want to interview prep for the on-site together?
Hey I have my on-site coming up. Would love to prep together. Feel free to DM me
Can I dm you both? I have my interviews coming up and need help
Know how to derive generalized least squares and what the assumptions are
Seems unlikely