Thread regarding T-Mobile layoffs

Data science job market

Got laid off as a data scientist. worried about the job market outside. should i get any internal roles?

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| 1651 views | | 15 replies (last September 5, 2023) | Reply
Post ID: @OP+1oreHswO

15 replies (most recent on top)

market is strong, you should be fine, do not worry too much.

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Post ID: @1dpc+1oreHswO

150k total

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Post ID: @1dcn+1oreHswO

What was your compensation as a DS?

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Post ID: @1gcr+1oreHswO

Ets.

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Post ID: @1the+1oreHswO

A DS at T-Mobile is nothing no than knowing SQL and basic macros and VBA. In the real world they are entry level Data administrators.

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Post ID: @1gcx+1oreHswO

I am curious which departments are laying off DS.

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Post ID: @1fjd+1oreHswO

i know lot of ds directors getting laid off this time.

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Post ID: @1dzo+1oreHswO

Ronke would be your only hope

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Post ID: @pwc+1oreHswO

any chances of finding roles internally?

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Post ID: @eyq+1oreHswO

The job market is flooded by laid off data scientists from FAANG. If you have experience on GenAI, you will quickly find a new role. Otherwise, I suggest you find a role internally until the job market improve.

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Post ID: @wgo+1oreHswO

Data Scientist vs Machine Learning Engineer is what the other posters are questioning, but if you're not familiar with the field, its skill level that's the difference. Data scientists look at the data and make inferences, MLE's write the code that does it automatically. DS is just statistics, MLE is statistics and computer science.

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Post ID: @hlm+1oreHswO

AI/ML comes under data science.

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Post ID: @gyn+1oreHswO

Surprised a data scientist would be laid off if TMO is going after AI. The data scientist would be the top of the spear.

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Post ID: @avm+1oreHswO

Data science is an iffy proposition for a profession right now as once the data is normalized, AI or ML does it quicker, better, longer, and cheaper.

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Post ID: @qaj+1oreHswO

mike sievert talking about ai/ml helping in reducing churn. Why the fu-k is he layoff ds folks.

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Post ID: @fgl+1oreHswO

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