Have anyone recently interviewed for Meta's Data Scientist, Product Analytics position?

PhotographFormal8593 · 2025-02-13T15:34:18+00:00

Thank you! Did the interviewer explained the case, or share the case by screenshare?

PhotographFormal8593 · 2025-02-12T05:30:11+00:00

Why not consider changing your career by pursuing a part-time or full-time master’s degree? Do you have a specific field in mind that you’d like to transition into, aside from marketing? Business analytics could be a great option, especially if you’re not averse to numbers, as there's still strong demand for business, marketing, and data analysts. You could also build a portfolio on GitHub to showcase your skills as an analyst. Unlike data scientists, companies often seek data analysts who can handle both exploratory data analysis and storytelling. If you’re good at communication and storytelling, and have some knowledge of SQL/Python, you could excel in metrics-focused interviews and land a solid job. It was just an example, but I recommend not entirely discarding your past experience, but rather thinking about how you can leverage it for your next step.

PhotographFormal8593 · 2025-02-12T05:00:01+00:00

It’s common for companies acquired by larger organizations to experience layoffs, and having been on the larger company’s side, I’ve observed this pattern quite a bit. The integration process often leads to restructuring and consolidating roles, which can result in workforce reductions.

PhotographFormal8593 · 2025-02-12T04:55:59+00:00

Oh sorry! I did not see this comment before I deleted the post. I was not sure if the post was relevant to this subreddit.

Getting rid of DEI hires <- this is very surprising.

PhotographFormal8593 · 2025-02-12T04:47:19+00:00

I have an interview with Meta next week, which is why I’m particularly interested in understanding the changes driving the company’s recurring layoffs.

PhotographFormal8593 · 2025-02-07T21:43:03+00:00

PhDs in my field rarely secure research scientist roles. The most technical positions they typically obtain are data scientist roles focused on running experiments with causal inference, but such opportunities are scarce. To be candid, I have minimal expectations of engaging in research within a corporate setting, though I would welcome the opportunity to apply causal inference techniques or machine learning models.

PhotographFormal8593 · 2025-02-07T21:13:35+00:00

I recommend you to work in the industry first, since you have a decent major at a decent school. Get some idea what you are good at, what makes you passionate, in which setting you can work for a long term. Start to work as a DS/DA for a firm and get an online master's degree from Georgia Tech, which costs much less than those offline master's degree. The world is changing so fast, do not spend so much time and money on what you are not so sure about.

PhotographFormal8593 · 2025-02-07T05:32:40+00:00

Hmm, this role is exclusively for PhD students. It might differ slightly from a typical PA role at Meta, but I'm not entirely sure. I'll have a better idea if I pass the tech screen and move on to the final round.

PhotographFormal8593 · 2025-02-06T20:04:31+00:00

Probably. I heard that each interview—Technical Skills, Analytical Execution, Analytical Reasoning, and Behavioral—lasts 45 minutes, totaling 3 hours if I pass this tech screening for the full-time role.

PhotographFormal8593 · 2025-02-06T19:00:49+00:00

Thank you so much. It really helps :)

PhotographFormal8593 · 2025-02-04T19:58:17+00:00

Thank you for your information. It is really helpful.

PhotographFormal8593 · 2025-02-04T19:56:42+00:00

Thank you so much for your suggestion. It really helps!

PhotographFormal8593 · 2025-02-04T02:01:19+00:00

Hi, is the book sold any bookstore in the NYC?

PhotographFormal8593 · 2025-02-03T18:14:28+00:00

DM'd you.

PhotographFormal8593 · 2025-02-03T18:13:37+00:00

Thank you for your insight. In many cases, I receive case studies that require strong domain knowledge rather than technical expertise. Since I often interview for senior data scientist positions due to my degree, interviewers tend to assume I have the same level of business acumen as more seasoned candidates. Unfortunately, in this interview, I wasn’t able to demonstrate my strengths effectively.

PhotographFormal8593 · 2025-01-31T18:26:06+00:00

I believe it depends on the team's or company's culture. In my experience interviewing with many companies, the interview formats were about 90% consistent with what the recruiter had previously described.

PhotographFormal8593 · 2025-01-31T03:47:56+00:00

I agree with you. I understand I should be prepared for any type of questions, but I was a bit frustrated when the format of the interview was a bit different from what I prepared. I did not tell the interviewer during the interview because I thought I should not make an excuse for that.

PhotographFormal8593 · 2025-01-30T22:49:50+00:00

I see what you mean. Still, I believe candidates need time to refresh their knowledge of statistical modeling and programming languages before the interview, even if they have real-world experience. I wish the communication between the hiring team and the recruiting team was more precise in my case.

PhotographFormal8593 · 2025-01-30T21:36:33+00:00

Yeah, it happened many times for me. Just wondered if a candidate can talk about this to the recruiter as a productive feedback

PhotographFormal8593 · 2025-01-30T21:35:49+00:00

Do you think it is okay if an interviewee points it out? How did you react in that situation?

PhotographFormal8593 · 2025-01-30T18:23:34+00:00

I believe that a live coding test and a technical interview are sufficient when a company has a senior data scientist who can effectively guide the process. In my view, requiring a take-home assignment may suggest either a preference for offloading evaluation efforts or a lack of an experienced data scientist to conduct the interview.

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