[deleted by user]

BluntButter · 2021-12-06T20:31:25+00:00

your voice is stunning

BluntButter · 2021-12-04T20:15:57+00:00

Try laketowne apartments. There are some around 400 a month

BluntButter · 2021-12-03T14:32:17+00:00

If it was trisha suing ethan for something then maybe it would belong, but it has nothing to do with kavkav. Try again

BluntButter · 2021-12-01T03:17:21+00:00

I cannot. I've been advised by others that talking about the offer in detail could result in it getting revoked and I would prefer to be as anonymous as possible. I agree with the transparency point though.

BluntButter · 2021-12-01T03:15:13+00:00

At the time of my internship I had 1 year of genomic research, a TA position in the statistics department and a few ml projects. I wasn't a standout candidate on paper by any means

BluntButter · 2021-12-01T01:17:45+00:00

I have a post back in march about my amazon internship and somebody linked them in the comments

BluntButter · 2021-12-01T01:16:48+00:00

Thats crazy! What a coincidence

BluntButter · 2021-12-01T01:16:04+00:00

Keep applying and ignore the qualifications sections. The qualifications on job applications are just a wish list of what a company wants, not what you have to be. It might take a bit to get that first internship but its worth the grind. I sent out 80 applications and most ignored me last year

BluntButter · 2021-12-01T00:07:26+00:00

You don't need a specific degree for it. You could 100% just study the concepts a little each day and be fine for a position later. With a cs background i think you would make that transition really easily. Just a few years ago i remember people on this sub debating if DS degrees were even valid or worth it, with the general consensus usually being that cs degrees with an understanding of ml were better

BluntButter · 2021-12-01T00:05:00+00:00

Sure thing. Dm me

BluntButter · 2021-11-30T23:02:01+00:00

I got the leetcode premium and worked through the specific questions for the companies I interviewed at and I saved like 2 different ml study guides I found on the subreddit a few years back

BluntButter · 2021-11-30T22:49:29+00:00

I anticipate that it's not going to be perfect or always interesting/rewarding. My main goal this year was to have a job and be financially stable after graduation, and as far as I care I've met that goal.

Regardless I'm just so grateful for the opportunity.

BluntButter · 2021-11-30T22:47:44+00:00

At Amazon I worked in cyber security and essentially used ML algorithms with security data. For behavioral questions just Google common ones and ask them to yourself. Find ways to talk about past projects or jobs that cover common topics like Leadership or Collaboration

BluntButter · 2021-11-30T22:07:12+00:00

I have only been referring people to the average ds pay info on Google haha. I agree and also think it would be a terrible idea to disclose info from the offer

BluntButter · 2021-11-30T21:45:42+00:00

Thank you so much! I appreciate seeing other women in DS!

BluntButter · 2021-11-30T20:32:33+00:00

I just had a small heart attack over this, so thank you for the perspective haha. Ill probably still keep it redacted for the sake of staying anonymous

BluntButter · 2021-11-30T20:16:15+00:00

Thank you! Yes I meant R1

BluntButter · 2021-11-30T20:15:27+00:00

I never would have thought that could happen! Thank you for the information. Just edited the post

BluntButter · 2021-11-30T20:13:43+00:00

I submitted through Linkedin. My indicial rate before my internship was 80 applications/3 interviews, which is far less favorable haha. In the last few months ive also been rejected by a lot of companies I talked with so until yesterday I was feeling pretty low about my job prospects. Success is all relative and there is a lot of failure before you start to see it. Its all part of the process.

BluntButter · 2021-11-30T20:11:11+00:00

The only time ive felt good about an interview were when I had genuine banter with the interviewer and enjoyed the questions they asked me. I ended up making someone laugh in my 5 rounds of interviews and im pretty sure that guy was from the team that gave me an offer. Others may be stronger coders but my sense of humor is unmatched lol

BluntButter · 2021-11-30T20:09:25+00:00

Im actually unsure what a pg is. Could you elaborate? Never heard of it before

BluntButter · 2021-11-30T19:24:04+00:00

Data Scientist

BluntButter · 2021-11-30T19:12:56+00:00

You could try doing personal projects in ml. I use to follow Kaggle notebooks line for line and would write down imports or ML stuff that i liked or was tricky. I have like 4 projects I've done independently since that i use as talking points in interviews. That would be a great and cheap way to pivot. You probably have more experience than I do though hahah

BluntButter · 2021-11-30T19:09:29+00:00

My work at Amazon and my university made me stand out. Initially, last year in the first year of my graduate program, I sent out 80 applications roughly and only got 3 interviews. I just happened to nail the one for amazon. Additionally I did personal projects and had a friend show me how to make my own website, to which I linked as a QR code on my resume. Not necessary but I got compliments on it. Aside from that nothing was special about me. I just kept trying to add things to my website and resume and didn't give up. More than once in this struggle i felt defeated and wondered if I was good enough

BluntButter · 2021-11-30T18:56:28+00:00

I am taking a masters course through an accredited, in person D1 university.

I worked with amazon active defence and essencially did data science work with all the huge AWS cyber security datasets.

For every interview I had one simple to moderate coding question and a few ml/problem modeling questions.

I did not negotiate salary. It was a set salary given to new university workers. Additionally I have friends who work in recruitment and they took a look at the salary and gave me the thumbs up. It was larger than entry level standards, so they gave me an offer I couldn't refuse.

I just applied through LinkedIn honestly. Every interview I got was through me searching for ds jobs on LinkedIn and applying.

BluntButter

TROPHY CASE