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Hi, I received offer letter from jpmc and accepted it. Today, HR told me that my offer was not processed since i had attended an interview and got offer from Mphasis for a JPMC client one year ago( which i declined later) . Could you please let me know, will it affect my current offer from JPMorgan Chase
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How is the hike and bonus guys
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Looking to use Capco's wellness reimbursement for a gym membership. The company site includes Crunch fitness and states it will subsidize up to $50/month, which brings the $110/monthly fee down to $60. The general manager at a Crunch gym said Capco's subsidized plan cost is $25/month total, which is a significant discount compared to what the internal site states. Which one is right? What are you guys getting? Capco
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Very unlikely. Now the focus is more on "Data Science". I'm not sure about supply chain but I would assume it is the same trend across all teams. In the last year or two, Juniper has hired too many data scientists at preposterous payscales. It seems that the payscales have also been modified to unduly favour data scientist titles. This would obviously cause distress among existing employees whose salaries seem minuscle compared to these new hires. And it is highly doubtful that the leadership will do anything to balance the payscales or remove disparity.
And the saddest part is that these new hires hardly have any business knowledge. I mean, would you trust the numbers coming out of anyone who does not even know the domain their working in? While many would be vary of these numbers, unfortunately, the leadership herr thinks otherwise. They trust their data scientists to drive revenue instead of paying their core product and business teams more, who actually drive it. The role of a data scientist has been overtly exaggerated, perhaps because the leaders here spend more time reading LinkedIn influencers more than actual experts.
There were times when domain experts were hired as specialists or analysts into core teams. And these experts would do it all - data crunching, data analytics, advanced analytics, predictive analytics, statistical inference, etc. But these new data scientists want others to do these jobs while they can copy code from ChatGPT and make pretty PPTs. Their only saving graces are that many of them can word vomit ML/AI jargon upon Directors/VPs to impress them; and there is no one to question them about their output or value add to the business.
But as usual, contributing employees get penalized with lower salaries, peanut hikes and delayed promotions, because the leadership has used up all the budget in hiring overpaid made-up job titles.