Hi! I have my on-site interviews coming up for an applied scientist position at Amazon and I was wondering if someone could please shed some light on the process. Specifically if you could help me out with how many rounds/focus of each round information so that I can better prepare for the interview then I would really appreciate it as I haven't been able to find anything online. FYI I just graduated from my Master's if that helps so it's a graduate research role. (L4)
Data Scientist - good with databases/sql, good at writing scripts to clean data, good at statistics
Research Scientist - often PhD in Machine Learning, Statistics, or equivalent.
Applied Scientist - has many attributes as Research Scientist, but also an expert in actually implementing solutions at scale and has many attributes of Software Development Engineer.
Hi! I have my on-site interviews coming up for an applied scientist position at Amazon and I was wondering if someone could please shed some light on the process. Specifically if you could help me out with how many rounds/focus of each round information so that I can better prepare for the interview then I would really appreciate it as I haven't been able to find anything online. FYI I just graduated from my Master's if that helps so it's a graduate research role. (L4)
Also business job titles are not job codes or job families. There are Data Scientists labeled roles that are RS or AS. The ones to avoid out for are the finance/business analyst/BI roles that are labeled Data Scientist. Ask what the job code is.
This is true however there are a lot of data scientist roles under the BIE/DE family which are proper DS roles .Its best to get an idea from he job description,hiring manager etc
I'm research scientist. It's true applied scientist is the slightly higher role and requires passing a coding bar. It's also true some people have the data scientist title, but it's not a real job family. They are likely business intelligence engineers or research scientists. So ranking salary bands (from what I understand) is BIE, RS, AS, but I don't think they're substantially different.
To be a research scientist/applied scientist you need a phd (exceptions exist though).Data scientists are folks with just an undergrad/grad degree usually .Research and applied scientists also get paid way more .A lot of data scientists work in the same teams as research and applied scientists
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Research Scientist - often PhD in Machine Learning, Statistics, or equivalent.
Applied Scientist - has many attributes as Research Scientist, but also an expert in actually implementing solutions at scale and has many attributes of Software Development Engineer.