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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. Starting Your Career in Data Science Marco Bonzanini ! May

    2016 @ UCL
  2. Nice to Meet You • Data Scientist • PhD in

    Information Retrieval • Background in Software Eng
  3. Data Science vs Market Research

  4. Data Science vs Market Research Data Science for Market Research

  5. What is Data Science Source: http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

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

    much software engineering • “Type A” vs “Type B” Data Scientist
  7. Do I Need a PhD? • Strictly speaking, not really

    • But it helps: • Hacking skills, Math&Stats, Substantive expertise • Soft skills
  8. Moving to Industry • Big companies • Small companies •

    Going solo (consultant/contractor) • Start-up / own business
  9. Boost Your Profile • How is your on-line presence? •

    Blog, LinkedIn, GitHub, … • Meet-ups (networking) • Learning never ends
  10. Challenges • Combining the best of both worlds • There

    is no “average day” • Teams with diverse background • Academic life is more flexible
  11. Thank You • @MarcoBonzanini • http://marcobonzanini.com • marco.bonzanini@gmail.com