Any advice is greatly appreciated :) submitted by /u/ActiveBummer [visit reddit] [comments ..read more

Hello everyone! I am a business analytics graduate soon, and I want to expand on my skills in data science with an online masters from University of Pittsburgh. I want to fast track my career in the best way possible. The course names are listed in the image in case you cant find it in the link. I have done a lot of research on masters programs and so far, this is the best I have gotten so far in terms of my chance at being admitted with my GPA and major. So my question/advice seeking is, whether anyone knows of good programs a person with my profile can get into. Also, Does the fact tha ..read more

Has anyone successfully been able to schedule a Google Colab Python notebook to run on its own? I know Databricks has that functionality…. Just stumped with Colab. YouTube has yet to be helpful. submitted by /u/Uncle_Cheeto [visit reddit] [comments ..read more

Does anyone know what datasets are out there for causal inference? I’d like to explore methods in the doubly robust ML literature, and I’d like to compensate my learning by working on some datasets and learn the econML software. Does anyone know of any datasets, specifically in the context of marketing/pricing/advertising that would be good sources to apply causal inference techniques? I’m open to other datasets as well. submitted by /u/Direct-Touch469 [visit reddit] [comments ..read more

I am wondering if anyone has encountered this question in job applications or interviews and what the best answers might be? Honestly, besides being adequately compensated, I am motivated by challenges that allow me to learn, a supportive environment, and a clear direction for growth. What would be your answers? submitted by /u/Curious-Fig-9882 [visit reddit] [comments ..read more

After 20+ years in the field, I'm not sure what I should call myself ? submitted by /u/Level-Upstairs-3971 [visit reddit] [comments ..read more

I have been recently contemplating whether to look for a new job or not. I read somewhere to make a pros and cons list to figure out if I should. Here is my list, looking for some constructive feedback. Pros: Job Security in an uncertain economy. Recently got promoted to senior DS, direct manager responsible for pushing for promotion. Work from home and pretty flexible working hours. Moved to a low cost city, but current salary based on high COL city. Some really good technical teammates to learn new technologies from, unfortunately they do not want to be managers, but prefer to be senior le ..read more

Started in December as a Sr. Data Science Analyst, but all the work I’ve been doing so far revolves around jumping around between several internal systems to try to explain any KPI changes of >2% to our leaders. So let’s say arbitrary KPI A is 100 on Monday, but then it’s 95 on Tuesday and then 94 on Wednesday, my job is to figured out what the root cause of the change is and to have answers “quickly”. We run an online sales portal with a multitude of variables that can lead to changes in our KPIs. A lot of the functioning of these variables are not well documented. The sources I’m expecte ..read more

I am a statistics & machine learning researcher. I have invented some new methods, built packages in C++, R, and Python. I am also a machine learning consultant (part-time), but I usually tell people what to do and give feedback rather than do things myself. I don't like this experience though. So you can see, I probably know lots about theory, methodology & practical applications. However, I always want to switch to a more "technical" position after getting a PhD, i.e. machine learning engineer or SWE with focus on ML. I do feel like not having a formal training in SWE and CS would m ..read more

Join us at Con Murphy’s on May 21st! Info & RSVP here: https://meetu.ps/e/N5ytt/97Jr8/i submitted by /u/CVM-17 [visit reddit] [comments ..read more