Career advice - DS vs. ML Career Paths

SAP / Other Xpy245d
Jul 5, 2018 12 Comments

Currently work at SAP as a data scientist. Although the title is that of a data scientist, I hardly do any of the ‘data science’ work (experimental design, A/B testing, statistical analysis) in the sense of other tech companies. It’s mostly some rough prototyping of ML algorithms in R/python for different problem domains like churn analysis, image recognition, supply chain analytics, nlp etc. It is not any fancy novel research but mostly applied research to solve the incoming problem in the quickest way.

I’m currently torn between choices on the skills that I should specialize in to be successful in the long run.

Please recommend ideas on what I should do, if there are any other possible paths then please do bring them up for discussion. Thanks a ton!

TC 135k, YOE 5 (2 in current field)

66 VOTES SELECT ONLY ONE ANSWER
VOTE VIEW RESULT

comments

Want to comment? LOG IN or SIGN UP
TOP 12 Comments
  • Google / Eng var
    You need to move from SAP ASAP. I was there too at some point. That experience didn't contribute much to my future career.
    Jul 5, 2018 2
    • SAP / Other Xpy245d
      OP
      Thanks - Gonna make the jump in about 6 months tops.
      Jul 5, 2018
    • SAP / Other Xpy245d
      OP
      Hence the planning and this post. so I can come in with the best prep and mindset to the new role. 😬 Really appreciate all the responses.
      Jul 5, 2018
  • Cisco CutePapaya
    Sounds like Burlington MA
    Jul 5, 2018 4
    • SAP / Other Xpy245d
      OP
      It’s breaks my heart to say that I’m in the Bay Area! Also hoping that being here makes moving to other opportunities somewhat easier.
      Jul 5, 2018
    • Cisco CutePapaya
      Oh man you need to move... you are making non-Bay area folks like wow
      Jul 5, 2018
    • SAP / Other Xpy245d
      OP
      Lower TC mostly because of negligible RSUs so not factoring that in. Base 120k, bonus 15k
      Jul 5, 2018
    • Cisco CutePapaya
      Got you
      Jul 5, 2018
  • Amazon Snapcrackl
    Statistics is a requirement for either of your first two options. Don’t get a PhD though unless you specifically need it for the job that you want to have (e.g., academia, research science, applied science).
    Jul 5, 2018 2
    • SAP / Other Xpy245d
      OP
      I agree.

      Thanks for your response, I was wondering what the differences are in terms of expectations from these different kinds of roles specific to Amazon -

      1. Applied Scientist
      2. Machine Learning Scientist
      3. Data Scientist
      Jul 5, 2018
    • SAP / Other Xpy245d
      OP
      Just found the answer to my question in a separate blind thread. Posting here for everyone’s benefit-

      Amazon has Data Scientist - basic ML with scripting
      Research scientist - statistician who knows how to code a bit
      Applied scientist - coder who knows ML

      Applied scientist > research scientist > data scientist
      Jul 6, 2018
  • Northrop Grumman / Eng ajjfji
    If you want to do legit research PhD. My guess is that for a non PhD the ml engineer path might be more lucrative. The work might not be that cool though.
    Jul 5, 2018 0