If i want to be a Data Scientist/Engineer at a tech company and I’m currently in Banking as a Senior Data Analyst is it better and/or easier to get into tech company as a Data Analyst and try to move into a Data Scientist/Engineer role or is it better to get a data scientist/engineer role in any industry and then move into tech?
I feel like the skills at the bank is really limiting me from using and learning R and Python that I learned in college.
YOE data: ~2.5
YOE in Military: 4
TC: 117k

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The hiring bar at good tech companies is quite high, so you need an intermediate landing zone first where you can learn and implement new stuff. Such companies are willing to take a chance with you if you have got decent knowledge and some hot certifications. You may have to take a pay cut as well if the learning potential is high. People call these positions — ‘catapult’ roles.

Been there, done that. Started from an IT sweatshop. Now joining Databricks after spending some time in a catapult role. Good luck.

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I would define a good catapult company or role as the one which has the tech exposure and learning curve ideal for you to make a major leap in future. Hypothetically say, ‘If I work in this role for 1.5 years, I will get the knowledge and skills equivalent to 4 years elsewhere’. That has been my philosophy. It could vary for others.

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F

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Hey - what’s your education? What’s your plan to upskill?

I’d jump in as analyst at tech then move over.

Will be easier and more $$ than trying to go Data Eng / DS at non tech then switching to same role in Tech.

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I have a BS in Data Science
I’m going over all the courses in R to brush up and taking some coursera certificates in Python Data science too

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