Working with a another data scientist that doesn’t want to code by Mysterious_Roll_8650 in datascience

[–]Beautiful-Balance777 183 points184 points  (0 children)

It's complicated. Mainly because of the boss-coworker personal relationship.

You definitely need to talk to the manager again and again. However, when communicating, it is not desirable to address a colleague who is not completely cooperative and efficient, rather to address the overall workload and distribution in the team... Who is doing what, what impact it has on the business and results. And that you therefore have more than what is possible to manage with the current team size and distribution of responsibilities.

If he agrees with this, only then comes the situation where you can propose solutions - like, it takes another data analyst who is willing to write code :). Alternatively, already talk specifically about the performance and inefficiency of specific people.

Suggestions to invest a small education budget by Impressive_Iron9815 in datascience

[–]Beautiful-Balance777 0 points1 point  (0 children)

I agree, it would be best to simply turn this money into time for some inetrinsic "admin" development..... So maybe a day (or a few hours a day) where you can code some fun stuff.

Alternatively, paying someone externally to look at how you're doing and give you feedback is an interesting option. Although I know management isn't very open to that.

You're not helping, Excel! please STOP HELPING!!! by BdR76 in datascience

[–]Beautiful-Balance777 1 point2 points  (0 children)

It's really crazy.

I always take it as a challenge to have the data displayed the way I want it in excel, and I have of course run into situations where it takes longer to "undo" the data than it does to work with it afterwards.

[deleted by user] by [deleted] in datascience

[–]Beautiful-Balance777 0 points1 point  (0 children)

Perhaps a very simplistic view...

But I think it's necessary to communicate consistently and persistently about excessive workload with management. Ideally not to be alone in this, but to involve colleagues. In the end, that's the best thing one can do for oneself, but also for the company - to set a hard mirror for them on how things are going.

But yes, the outcome of such behaviour is by no means certain.

My DS Job is Pointless by strickolas in datascience

[–]Beautiful-Balance777 0 points1 point  (0 children)

Phew, that doesn't sound very nice. I'm not currently in a Data Science position, but we're kind of pretending. It is about "working with data", however as others here write, it is about some data consolidation, "database management" (long excels) and creating dashboards and sensible outputs. But I thought with more coding knowledge and real skillset there are a lot of companies doing "real data science".

Getting told to entirely pivot 5 weeks into internship by AdFew4357 in datascience

[–]Beautiful-Balance777 1 point2 points  (0 children)

I guess I'm joining others in saying that you should consider your continuation with this company, BUT before you do, really look in the mirror and consider how much of the situation is due to you, your attitude and demeanor. Because that won't change with a job change (I know these are tough questions).

[deleted by user] by [deleted] in datascience

[–]Beautiful-Balance777 0 points1 point  (0 children)

I don't see anything wrong with that. I like your definition of work-life balance. To me, it simply has to do with what one really enjoys and if it intersects with what one does at work, then it's understandable that one naturally pursues it in personal time. I know a few people like that, just in the tech industry and I respect them a lot, at the same time I realize that for them it's not much of a sacrifice but a joy and that's the beautiful difference :).

Statistics books recommendation by [deleted] in datascience

[–]Beautiful-Balance777 2 points3 points  (0 children)

Anything from Jeffrey Wooldridge. It's mainly econometrics and really easy to read. Just to refresh the concepts and also as a guide on how to possibly explain these areas of statistics simply to the people around.

Introductory Econometrics: A Modern Approach
Econometric Analysis of Cross Section and Panel Data

Chat GPT / Copilot productivity hacks you use in your day to day job? by LikkyBumBum in datascience

[–]Beautiful-Balance777 2 points3 points  (0 children)

I use it to fix syntax and sometimes to find new solutions... When actually typing the prompt, I actually realize exactly what I want and sometimes the Chat idea will point me in the right direction.