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Transitioning to a Career in Data Science or Data Engineering

The rise of big data analytics in recent years has created a compelling opportunity for scientists and engineers with machine learning skills to become data scientists and data engineers at fast growing tech companies. Unfortunately, for many academics and engineers, there exists a skills gap between their quantitative, machine learning and computer science fundamentals and the practical experience sought by leading data teams.


This talk will focus on strategies that engineers and academics, who are not currently working as data engineers or data scientists, can use to break into the industry. Best practices of leading data teams will be discussed, along with specific approaches you can take to leverage your engineering, quantitative or ML experience to become a successful member of one of these teams.


Speaker:


Jake Klamka is the founder of the Insight Data Science Fellows Program, a postdoctoral training fellowship which helps quantitative PhDs move into careers in data science. There are now more than 70 Insight Fellows working as data scientists and data engineers at companies including Facebook, LinkedIn, Square, Microsoft, Palantir, Airbnb, Jawbone, Intuit, Netflix and various startups. This summer Insight is launching the Insight Data Engineering Fellows Program, tailored specifically to professional engineers (PhD NOT required) who want to become big data infrastructure engineers at a leading tech companies. You can find more at: http://insightdatascience.com (for scientists) and http://insightdataengineering.com (for engineers).





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  • JeffD

    I've shared my notes here: https://docs.google.com/document/d/1aT0PQqcDDZMuyMKkjGdNfGXcpnf4etPQ2uWkfylKMBg/edit

    This is what /I/ found interesting, feel free to round it out or comment. It should be editable by all.

    4 · March 24, 2014

    • Gero S.

      Great summary! Thanks for sharing!

      March 28, 2014

    • Paula

      Thank you for that. I just joined the group and that was a great inside look of future meetups to expect.

      1 · April 10, 2014

  • Kinshuk

    Great article on how companies are having hard time finding Predictive Analytics talents. http://digital.insurancenetworkingnews.com/insurancenetworkingnews/february_march_2014#pg10

    4 · March 28, 2014

    • Michele C.

      Thanks for the link. Interesting read!

      April 2, 2014

  • Gero S.

    This was an extremely valuable presentation giving a very good introduction as well as hints and tips about what it needs to enter the path of a Data Scientist or Data Engineer. The speaker did a great job giving a brief summary of necessary skills, sharing experience and providing recommendations and directions on how to close "the gap". For me - though I already had a decent idea of this topic - it was a very well put together presentation and definitely worth coming!
    Sure, there is some truth in the remarks below regarding limited seating and parking spots but that's life and these things just happen... However, I very much appreciate the time and effort the speakers and volunteers spend on such an event to make it happen. For me, it simply boils down to the value of the presentation and this one was excellent - even when I had to sqeeze myself into the corner of the room and walk half a mile to my car. .. Thank you to Jake and the organizer(s).

    4 · March 28, 2014

    • Suhas

      completely agree with you, especially teh after-talk 1-1 session with the speaker was even more valuable with other people asking similar questions you had and getting relevant answers from different people with different perspectives.

      1 · March 28, 2014

  • Herb

    As one of the organizers, I want to respond to comments abt capacity and parking. We hear your frustrations loud and clear. As JeffD guessed correctly, we size the meetup based on approx 50% RSVP turnout. This time we got much higher than 50% RSVP turnout. We know that room capacity and parking are issues, the latter being more acute. We are exploring options for larger free venues. Free is the key word here since this is a 100% volunteer supported effort by the organizers with generous free space from Hacker Dojo. Everyone has a right to voice their opinions. However, instead of just leaving comments, pls let us know if you can help solve our problems. If you know of free, larger venues nearby in the mid-peninsula area, please let us know. Also, if everyone can be conscientious and only RSVP when they plan to attend, we will not have this issue. So pls be thoughtful when you RSVP.

    7 · March 23, 2014

  • David H.

    Its being offered again Tues. 3/25 here but already 250 signed up:

    http://www.meetup.com/BigDataGurus/events/169886552/

    March 23, 2014

  • KB

    All the people who are complaining why don't you spend your time writing a ML Prediction Tool which can predict how many people will show up :).

    March 22, 2014

  • JeffD

    FWIW it may not be anybody's fault that it was overcrowded - typically 1/2 the people who sign up, show up, so they may have 'overbooked' the capacity (total speculation on my part). Little did they know that there are so many frustrated proto-data engineers / scientists out there!

    1 · March 22, 2014

    • A former member
      A former member

      Exactly. One of many tricks PR pros use is to make a room smaller than it is to "schedule" an overflow of people, in effect, generating positive buzz. If that was the intention, then mission accomplished!

      March 22, 2014

  • A former member
    A former member

    Unfortunately this was a poorly executed MeetUp. It had nothing to do with the speaker, as I never heard him. How is it that there were allowed 320 people to sign up for this? I went and it was standing room only, and outside the room! Yet, there were tables taking up massive space in the room, plenty of room for more chairs. Rule 1: If you're going to put on a MeetUp, make sure there is room for people to actually sit and hear the speaker! Hacker Dojo is terrible for parking, only half the space was truly utilized. It felt like the Titanic where the few had choice seats in lifeboats and the rest struggled for survival -- and failed.

    Given the number of people signed up, the organizers should absolutely have removed the tables and set up more chairs ahead of time. The slides will be of absolutely no use either. I caught a glimpse of them, and without the speaker they are useless.

    While I've enjoyed a few talks, all in all this was a failure to many of us.

    2 · March 21, 2014

    • Madhan

      someone either forgot do predictive modeling or the model didn't work well :)

      March 22, 2014

    • Off By O.

      I have to completely agree with all the remarks above. After parking half a mile away, I arrived to find a standing-room only crowd spilling out of the main room. It was obvious I wouldn't be able to hear the lecture, so I turned around and left. It was a more productive use of my time to go home an do laundry. I doubt I'll be wasting my time on any more meetups from this group until there is some evidence that the organizers are trying to match the number of people allowed to sign up to the actual room size. (You need a bigger venue.)

      March 22, 2014

  • Yong L.

    Better have more detail , such as technical detail, or data science job market detail.

    March 22, 2014

  • Dharmi

    slides please...

    March 22, 2014

  • Didier O.

    Motivational. Interesting tips but i expected a little bit more of content.

    March 21, 2014

  • Tripti

    Hi, it is possible to get a hold of the slides ?

    March 21, 2014

  • A former member
    A former member

    If any of you are interested in a
    Data Scientist Project Group spin-off, please drop me a note at [masked]. If there is interest, we can arrange an organizational meeting ...

    2 · March 21, 2014

    • Didier O.

      Is the email correct?

      March 21, 2014

    • A former member
      A former member

      Whoops! That should be .net -- [masked].

      March 21, 2014

  • A former member
    A former member

    As a machine learning newbie who is interested in the profession from a marketing perspective, I found the discussion dynamic and engaging.

    2 · March 21, 2014

  • Bill

    Very interesting. The slides showed the bullet points quite well.

    March 21, 2014

  • Chris C.

    Glad I arrived early. I have never seen so many people in the large room at the HackerDojo

    1 · March 21, 2014

    • henry c.

      Not if you go to any other of these meetups!! =P

      March 21, 2014

  • xc

    I would love thisGreat opportunity to meet great people

    March 21, 2014

  • Juan

    Any engineers or data scientist looking for work contact me.

    2 · March 20, 2014

    • Aneesh M.

      Hi Juan,

      I've sent you an e-mail via Meetup.

      March 21, 2014

    • Juan

      Just send me a message through meetup.

      March 21, 2014

  • Song C.

    Hi all, this talk will not be recorded based on the speaker's preference. However, I will try to talk to the speaker to see if the slides or any other materials can be shared.

    March 21, 2014

  • xc

    I would love thisGreat opportunity to meet great people

    March 21, 2014

  • Ramya N.

    Hi, will this be recorded? I'm not sure whether I'd be able to show up on time.

    March 21, 2014

  • Ramya N.

    Will this meetup be recorded? I'm not sure whether I'll be able to make it on time.

    March 21, 2014

  • Brandon

    Hi

    March 21, 2014

  • Tripti

    I am probably 67 on a waitlist of 68 people. I was wondering if the lecture is going to be recorded.

    1 · March 21, 2014

  • henry c.

    Engineer with strong interests in data science and data infrastructure engineering. If I'm wait listed, should I still bother showing up?

    March 21, 2014

  • D_Sharma

    How many seats are there for this event?

    March 20, 2014

  • Catherine

    Hi, I am on the waiting list for tomorrow's gathering:(Any sport still?

    1 · March 20, 2014

  • xc

    I would love thisGreat opportunity to meet great people

    March 19, 2014

  • Simon

    Simon

    March 16, 2014

  • Xiaoshan Z.

    I really wish I could go but I will be in Maine for advanced SQL training on that day... Would love to see the recording/slides of this presentation!

    March 12, 2014

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