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Hi All
#HelpNeeded
I'm having experience in data analytics and engineering and looking for a switch.
Can someone please refer me for the below mentioned opening at Nike.
Job ID- 34986
Profile- Data Engineer (ED&A)
Please let me know if anyone from this bowl can help. I've been trying to reachout to my linked connections but that didn't work.
Thanks and Regards,
Hey folks,
Looking for a career in the Fintech startup, where you can get a balanced life and work from anywhere!
Yes you heard it right !!
Here is the opportunity for Remote location
“WORK FROM ANYWHERE”
Looking for the candidates for the below mentioned positions
Company : GRIP Invest
Location : Gurgaon/ Remote
You can comment or email me for the JD if you are looking for the opportunity in the below positions
You can mail me at : prakruthi@gripinvest.in

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Very different skillset (& as someone in a technical data/analytics practice, the skillset in demand now is data engineering and especially ML Ops).
Thats a much closer fit with data architecture & this area will continue to grow in the future as data science becomes packaged and standardized (its pretty simple to build a classification model nowadays with scikit-learn)
Pro
Data Architect to data engineering will be straightforward. Data science at the simplest is straightforward. But way too many people claiming to be data scientists are doing trivial things not much more than simple models.
There are a lot of more weak data scientists that don't understand the math and misuse libraries that aren't applicable. Knowing when to use clustering vs. or with Markov chains is much harder than running the model. Doing predictive models range from trivial to highly complex. Understanding oversampling and confounding is easy in concept, but can be a lot more complex in industrial situations.
Good data scientists work with data engineers to build the analytic models.