Pivot to what role? What you need to become a data scientist alongside math PhDs may not be the same as what you need to be on the business side handling SQL and data visualization.
M1 and DS1 are absolutely right. Most DS degrees are nothing but cash grabs but at the same time, you don't need a full fledged degree to get a lot of analytics roles. A lot of them are just intermediate SQL jobs that with the right work experience, you should be able to get
Since you're already an SM, you might not need another degree. Use your business background to exit to a transformation office or internal strategy team of a F500. Make the business case for data projects, and execute those projects. By then (if you aren't already), you'll be too senior or too well paid to just be leading a team of data scientists.
I do feel a bit out of my depth with data projects. I know a majority of the transformations at large F500 firms will have a strong data backbone to it. I want to make sure I am able to be hold my own.
PS. Always have been a very detail-oriented person. A bit allergic to the consulting fluff even though I have gotten much better at it.
Course included are: - Designs of Algorithms and Programming for Data - Machine Learning - Management of Big Data and Big Data Tools - Data Mining and Prescriptive Analysis - NLP - Bayesian Statistics and Machine Learning - Deep Learning
Interviewing for a role at HSBC Mumbai for data analyst. Currently have 5+ years of experience and 13 LPA fixed CTC. What should be the package I can ask for? And what GCB level would I be with that work experience?HSBC India HSBC
Pivot to what role? What you need to become a data scientist alongside math PhDs may not be the same as what you need to be on the business side handling SQL and data visualization.
Developing data strategy, leading data transformation initiatives and being a part of the Chief Data Office.
Eventually lead teams of data scientists.
Mentor
A lot of hiring managers look down on DS or Analytics Masters. I'd recommend doing MSCS or Stats instead.
I doubt I could pivot to a master in CompSci or Stats without an undergrad.
M1 and DS1 are absolutely right. Most DS degrees are nothing but cash grabs but at the same time, you don't need a full fledged degree to get a lot of analytics roles. A lot of them are just intermediate SQL jobs that with the right work experience, you should be able to get
Since you're already an SM, you might not need another degree. Use your business background to exit to a transformation office or internal strategy team of a F500. Make the business case for data projects, and execute those projects. By then (if you aren't already), you'll be too senior or too well paid to just be leading a team of data scientists.
I am definitely looking at that option.
I do feel a bit out of my depth with data projects. I know a majority of the transformations at large F500 firms will have a strong data backbone to it. I want to make sure I am able to be hold my own.
PS. Always have been a very detail-oriented person. A bit allergic to the consulting fluff even though I have gotten much better at it.
Course included are:
- Designs of Algorithms and Programming for Data
- Machine Learning
- Management of Big Data and Big Data Tools
- Data Mining and Prescriptive Analysis
- NLP
- Bayesian Statistics and Machine Learning
- Deep Learning