Starting Your Career in Data Science

Starting Your Career in Data Science

Slides of my talk as part of the event "Beyond Academia: Working in social and market research" organised by UCL for research students and post-docs.

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Marco Bonzanini

May 05, 2016
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Transcript

  1. 2.

    Nice to Meet You • Data Scientist • PhD in

    Information Retrieval • Background in Software Eng
  2. 6.

    Data Scientist’s Mistakes • Not enough software engineering • Too

    much software engineering • “Type A” vs “Type B” Data Scientist
  3. 7.

    Do I Need a PhD? • Strictly speaking, not really

    • But it helps: • Hacking skills, Math&Stats, Substantive expertise • Soft skills
  4. 8.

    Moving to Industry • Big companies • Small companies •

    Going solo (consultant/contractor) • Start-up / own business
  5. 9.

    Boost Your Profile • How is your on-line presence? •

    Blog, LinkedIn, GitHub, … • Meet-ups (networking) • Learning never ends
  6. 10.

    Challenges • Combining the best of both worlds • There

    is no “average day” • Teams with diverse background • Academic life is more flexible