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Hello All, I have one question. I was a fresher and joined one organization as external employee with third party payroll. I worked as external payroll for 1 year then I became permanent employee of organization was working. When i was a fresher my salary was below tax slab so my external exployer did not generate any form 16 for me. When tried to switch my new organization wants me to submit form 16 as BGC process. Will my offer get reverted?Cognizant Tata Consultancy HCL Technologies Accenture
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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
Got messaged by a C3 . ai recruiter. Read that wlb is bad and that the interview process is absurdly long, but the Glassdoor reviews are 4.2 and can't find actual hours worked posted by anyone. How's the culture really? I'd be aiming for DS consulting, something more functional but with DS/ML concepts as my differentiator.
C3.ai, Inc.
Has anyone else begun to resent data science?
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What do YOU enjoy?
If it’s :
-Translating biz questions into data solutions without a lot of tech skills but with product skills - look for product management roles in data/analytics
- if it’s purely biz ops, that can be either in tech or in consulting- both are the same, translating biz requirements into data solutions
- if you want things to be a bit more technical plus want to lead teams - look for business intelligence manager/ analytics manager
- if you are a sql monkey and love experimentation stuff- check out roles I’m like data scientist, product analytics- they do a lot of experimentation and has some stats liek hypothesis testing etc
- if you want to get more technical - like hardcore engg- data engineering
- want to delve deeper into data science ? - applied scientist roles
For data engineering/science, the extremely high TC roles (>$500k or even >$1m)....
I see these TCs at high level engineering roles at FAANG companies and the like...
Are they typically reserved for deep technical experience?
Or are they more for data engineering/science leadership roles that require broader and more businesses-oriented expertise?
How much did you sell your business for?
Less than $50k. Headcount <10, mostly consulting and agency work (some recruiting). Sold to co-founder / bigger agency.
Wow 200k no income tax is almost 350k 🤑
There are pros and cons to living in the Middle East. 😏
I guess another way to ask the question is:
what are the ultimate destinations for someone with our experience and skillsets?
Data, Analytics, Consulting, Industry/functional Exp, maybe some tech...
Is it to be a Chief Data Officer or similar?
I've worked closely with several, and I'm not sure it's my dream..
I'm tired of showing people how to be "data-driven". I think I can't stomach more "data governance."
Having said that, I know a few CDOs in this region with TC $1M.
I know some people argue that "tomorrow's C suite execs will need to be drilled in data and analytics ". I've heard that for almost 10 years, and although I don't think it's a bad idea, it certainly isn't pervasively the case for most C suites I've seen.
For certain roles - like COOs, CFOs and definitely CMOs - it's a huge leg up to be drilled in data and analytics.
But functional and industry experience seem to be more important, as well as personality and social graph, for C suite hiring.