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Need some advice here. I am a fullstack developer with 5 yoe in Angular and Python. My aim is to crack FAANG companies.Now I got an offer from HSBC in a credit risk model monitoring role using Python.It is close to a data engineer role.
My question is that will it be a good idea to shift from development role to a model monitoring role if I want to move to FAANG in the future?Or does FAANG not prefer people who are not in core development roles?Amazon Microsoft Google Adobe PwC EY Citi Barclays JPMorgan Chase
I want to earn good money without compromising on WLB.
This is my profile
1 year at a Fintech firm in Product role (Current Role) in Gurgaon
1 year at PwC as Consultant 1
MBA (Finance) grad Skills: SQL, Excel, Power BI, Client Issues, Jira for bug reports and tracking team activities, etc.
Any companies that anyone can suggest? Any other skills that I should pick up? Current base pay is 10 LPA. I feel a bit underpaid.
Want to stay in similar business analyst, product analyst roles.
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Realistically, very few consultants sell anything that requires with actual statistics knowledge. What you will come to find is that statistics/ML analysis is super easy and so well documented literally anyone with an IQ over 100 could apply them. The REALLY hard part is getting clients data into a state where these analyses can actually mean something. 99.9% of the time, clients data storage is in such disarray the projects devolve into helping them with data management and governance lol.
This
Analytics consultant or data and analytics strategy role seems like it would work well for you
Job title names aren’t super standardized. At KPMG, the role is Data & Analytics Consultant. At ZS, the role is Decision Analytics (Associate / Associate Consultant /…). Analytics may be a common term across postings.
Visual Storyteller
Business technology solutions consultant, product owner, product manager, AI strategist
Interesting! What do AI strategist do? Any chance that being a PM or Data Science consultant help with the process of transitioning into AI strategist?
You would still consider as "fluffy" consultant not data scientist. What skill and value can you deliver as data scientist without AI/ML knowledge