Hey all, firstly, I don't want to sound disingenuous so I really hope this doesn't come off that way. I have a pretty non-traditional path to Data Science, I did a Bachelor of Commerce, and through a rotation program at a big Canadian bank got into a Data Science team, that was supportive and took me on despite me lacking technicals. I've been in the position now for 2 years, mostly working with NLP and unstructured data. Doing usual Power BI dashboard, KPI antics, all the way up to using transformer embeddings for email classification models. It has been a cool role, sadly plagued with bad m ..read more

In your opinion, I was wondering which is better when searching for a data job-- a portfolio of small demos or an actual product that fills a void? For example, if my community has an information need such as analysis of schools, their suspension rate and other related features, would that be better than a bunch of small projects posted to github? I'm thinking an actual product is more beneficial in showcasing one's skills, because it's an end-to-end project (e.g., data collection, data cleaning, analysis, infrastructure, integrating data updates, etc). submitted by /u/wage_slaving_sucks [vi ..read more

I'm in a senior DS role right now. This is my first data job after being a professor for a few years post PhD. I'm a modeler, that's my main focus on the job, which I absolutely love. However, the client (I'm a consultant) uses SAS miner and guide, and does not use Python at all. Partially because they always have and partially for security concerns. As I build my models, realistically the biggest issue is making sure I do things that our (imo outdated) tech stack can handle. I'd love to do a sexy GNN network based model for example but right now we struggle to execute a random forest. The ex ..read more

Hi, Currently I have a one note where I track different pieces of company desired goals/targets through the year. Some of the things they care about : 1) certs / continuing education 2) speaking events 3) individual contributions (projects etc) How are some of the ways you track your progress? And if you don’t…why? Any way you can resell yourself every review is great ammunition imo. submitted by /u/Texas_Badger [visit reddit] [comments ..read more

Hello, I’m coming with question to maybe more experienced professionals or even people which are recruiting. In most job postings I see for DS, MLE, MLOps etc I see requirement of at least 3 YOE. In my personal experience I saw lot of devs with 1 YOE having much more knowledge and wider range of skills then devs with 6 YOE writing code in PHP and using only excel. I assume most people having less experience in their resume would be dropped immediately in early stage of reviewing candidates because of this factor. What’s the deal with this time boundary and is it really that important? submit ..read more

submitted by /u/PraiseChrist420 [visit reddit] [comments ..read more

Looking to be able to search for the price of any given food you’d find in the grocery store. Aware of any datasets that have this information? submitted by /u/LettucePilgrim [visit reddit] [comments ..read more

I did a Masters years ago, and we had an internship requirement as part of it. The university had a bunch of big-name employers come in over the course of a week, and we could sign up to interview with them. I'm curious how other grad programs did or did not help you get a job. submitted by /u/Dangerous_Media_2218 [visit reddit] [comments ..read more

I know the market is fucked for less experienced candidates. What’s the market like for people with 5+ years experience at a FAANG as well as a graduate + undergraduate degree from a top tier institution? Is it just the new grad market that’s fucked or the L5/L6 market too? submitted by /u/Terrible-Hamster-342 [visit reddit] [comments ..read more

I initially was going to have a quick call (20 minutes) with a recruiter that ended up taking almost 45 minutes where I feel I was grilled enough on my background, it wasn't just do you know, x,y and z? They delved much deeper, which is fine, I suppose it helps figuring out right away if the candidate has at least the specific knowledge before they try to test it. But after that the recruiter stated that the interview process was over several days, as they like to go quick: 1.5 hours long interview with the HM 1.5 hours long interview focusing on coding + general data science. 1.5 hours long ..read more