For ML jobs, should I go for DS, AS, or ML Eng?

Visa / Data
yzc

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Nov 27, 2019 24 Comments

When I was in college, my understanding was that data scientists do most of the ML related works while there are data analysts and business analysts working on analytics projects. However after coming to industry, I find data scientists in top tech companies work on analytics most of the time, and seledomly have the chance to work on ML. I even don’t know what’s the difference between data scientists and analysts in this sense. And there are applied scientists, MLE, and research scientists (named differently in different companies) purely working on ML. Is it the trend that data scientists are becoming analytics professionals and applied scientists/ML engineers are becoming the “core” data scientists?

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TOP 24 Comments
  • New h0r4y
    What's the first rule of blind? You forgot to respect the first rule.
    Nov 27, 2019 1
    • PTC Privet
      TC or GTFO
      Nov 27, 2019
  • Apple kahnyay
    Best TC is in ML Eng because you're versatile. Good data scientists are rarely good engineers, and good engineers are rarely good data scientists. ML Eng is good at both, so a good one is very rare and will be paid very well.
    Nov 27, 2019 0
  • Visa / Data
    yzc

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    OP
    TC 200K
    Nov 27, 2019 3
    • Visa / Eng dkxnwu
      Visa doesnt pay 200k for freshgrad, unless you are lead engineer LOL.. The pay at Visa is pretty standardized plus min 25 percents.
      Nov 27, 2019
    • It's for a data engineer who gets paid more
      Nov 27, 2019
  • Salesforce 837$:$38
    Applied/ researchscientist or MLE. In one you might get to write papers and in the other you do core ml algo work and implement them at scale - if you are lucky you might get to write your own backprop although rare. Don't do DS.
    Nov 27, 2019 8
    • Ok, but then you should have explicitly stated that in your comment, to prevent any misguidance. Just constructive feedback, no hard feelings
      Nov 27, 2019
    • Salesforce 837$:$38
      Read the post, I pretty much inferred. He's at Visa and wants to break into ML and work for a top tech company.
      Well sure there's a chance it's not the case, but you've done a good job at emphasizing the fine print so...
      Nov 27, 2019
  • Look at what the role does. Uber DS = Applied Scientist at Amazon. If you read job descriptions carefully, you’ll realize that
    Nov 27, 2019 1
    • Visa / Data
      yzc

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      OP
      Thanks bro. But I think DS at Uber are also doing lots of AB testings for in some teams. Is it true that Applied scientists only work on ML?
      Nov 29, 2019
  • New h0r4y
    Go for research scientist if you really want the hard core ML stuff
    Nov 27, 2019 1
    • Nobody knows what ml.actually is
      Nov 27, 2019
  • Stop associating DS only with ML. You could be doing causal inference full time for a DS job, and that shit is hard yo
    Nov 27, 2019 0
  • Uber / Eng Docker
    Pretty sure analysts tried to redefine their roles to fit into the DS trend lately, due to higher pay and more demand for these functions. The traditional DS was not an analyst. Most DS roles pivoted over to AS and MLE roles, but MLE is becoming the hotness nowadays due to the democratization of these models and the need to apply them to your business applications and most AS suck at it.
    Nov 27, 2019 0
  • Uber podThu
    Extremely unlikely for research scientist without PhD. Best bet for algo focused role would be applied scientist. Amazon applied scientist AFAIK is pretty respected.
    MLE imo is hit or miss--some companies just have them implement pipelines with available tooling. Some get to do E2E R&D and prod scaling...
    Nov 27, 2019 0
  • Spotify / Eng alphaomega
    Sadly, titles aren't standardized. Go read a bunch of job descriptions and decide for yourself what you want to be called for each specific company.
    Nov 27, 2019 0

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