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Hey Guys,
A samaritan is creating a dashboard for us to help understand the market standards for your skillset and help us to realize if we are underpaid!? And this helps us to negotiate as well
Share your responses here..
Suggestions are welcome.. Will update dashboard link in the below page itself ☺
Let's work together 😎
Please do share below links with your friends and besties from work and help them too...
https://docs.google.com/forms/d/e/1FAIpQLSdRBRC8b5J2DAPR33xmhnUxEX40UsPTvQVfN3r
Which one to choose between Optum and Tiger Analytics for Data Scientist position? Where can I expect better data science domain expertise (In my previous companies I found very less understanding of Data Science practices as team)? Heared good things about both of these. Also hearing Tiger is expanding rapidly and getting some crap projects as well in the name of data science. Could someone put light on these things?
YOE: 4.5 Years
Tiger: 18L Fixed + 1L JB
Optum: 21L Fixed + 1.5L JB
We’re looking for a Chicago brand strategist, 3-5 years experience. Will consider 5+, but salary is capped at $85k. Click link, read job description DM me if interested.
LinkedIn à https://www.linkedin.com/jobs/cap/view/1596879751/?pathWildcard=1596879751&trk=mcm
Merge.com à https://myelincommunicationsdbamerge.applytojob.com/apply/YT7dRHYHzt/Brand-Strategist
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FRM average salary through uhaul
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Houston downtown JW vs Westin.. Thoughts?
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@BCG2, graduated high school at 16, college at 19 with full time software engineering positions during college doing exactly what I'm doing now. Was able to leverage that to come in as an experienced hire + hot skill bonus and come in as Snr Analyst. Currently a consultant.
Correct. The relationship between age and salary is clearly not linear below adulthood and after retirement. We also don't have data above low 40s to know whether it is linear between then and retirement. However, the data we do have are fairly linear, and they exhibit only a very small amount of heteroskedasticity at higher ages. I see no utility in forcing a coefficient at zero.
So the purpose of the regression would be to plug in ones own age and see if you're above or below average for your age. As well as understanding the average dollar impact of additional years of age on salary. For those purposes, the regression is quite suitable.
27, 82
29-147
33,$190
And partners clear $1M regularly?
25, 98k
It depends on the partner. I think new partners are typically below that. Last year was a good year.
33 / 240
24, 90
@kpmg5 - Advisory PI
27, 98K
28-$110
I'm at one of MBB, D2
25 - $102k
28- $120
23 - 73
@pwc 13 - guess that puts me at the mean: 29-$125k
26-150K
25-105k
A10 you coming from B school?
29 $105k