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Sara Vera
Data Scientist at Insightly
sarav@insight.ly
The Art of Hiring Awesome
Data Scientists
• The Hub of Your Communication, Sales and Collaboration
• Small Business Focus (1-200 Employees)
• General, All Purpose Customer Tracking
• Integrated CRM & Project Management
• Multiple Access Platforms (Web, Mobile App etc)
Why Insightly?
Key Integrations:
• Google Apps/Gmail
• Dropbox
• Outlook 2013/Office 365
• MailChimp
• Import2
• Evernote
• Google + Hangouts
• PandaDoc
• Quickbooks Online

Google+ Hangouts
• Zapier etc
How do you find
awesome data scientists
when the supply is
smaller than the demand?
http://blogs.hbr.org/2014/08/the-question-to-ask-before-hiring-a-data-scientist/
First
Define your needs
Ask yourself: Is our data scientist
producing analytics for machines or
humans?
Analytics for
Machines or People?
• e.g. Ad targeting,
recommendation
engines
• Need strong
mathematical, statistical
and computational
fluency to build models
that can quickly make
good predictions
• e.g. Analyzing products,
understanding user
growth and retention,
producing reports
• Need to be able to tell
a story from the data,
drawing conclusions
about the “how” and
“why”
Hire for talent, train for tech skills
Second
Analytical thinking and good communication
skills are harder to teach than SQL, Python,
R, Java…
Third
Broaden your pool of candidates
Diversity
Increases your revenue
Promotes innovation
Provokes more thought, jolts cognitive action
Think outside the box when looking
Remember
Define your data needs
Hire for talent, teach tech skills
Look outside the box for a diverse pool
Data.You can do it!
Sara Vera
sarav@insight.ly
Thank You

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Vera The Art of Hiring Awesome Data Scientists

  • 1. Sara Vera Data Scientist at Insightly sarav@insight.ly The Art of Hiring Awesome Data Scientists
  • 2. • The Hub of Your Communication, Sales and Collaboration • Small Business Focus (1-200 Employees) • General, All Purpose Customer Tracking • Integrated CRM & Project Management • Multiple Access Platforms (Web, Mobile App etc) Why Insightly? Key Integrations: • Google Apps/Gmail • Dropbox • Outlook 2013/Office 365 • MailChimp • Import2 • Evernote • Google + Hangouts • PandaDoc • Quickbooks Online
 Google+ Hangouts • Zapier etc
  • 3.
  • 4.
  • 5. How do you find awesome data scientists when the supply is smaller than the demand?
  • 6. http://blogs.hbr.org/2014/08/the-question-to-ask-before-hiring-a-data-scientist/ First Define your needs Ask yourself: Is our data scientist producing analytics for machines or humans?
  • 7. Analytics for Machines or People? • e.g. Ad targeting, recommendation engines • Need strong mathematical, statistical and computational fluency to build models that can quickly make good predictions • e.g. Analyzing products, understanding user growth and retention, producing reports • Need to be able to tell a story from the data, drawing conclusions about the “how” and “why”
  • 8. Hire for talent, train for tech skills Second Analytical thinking and good communication skills are harder to teach than SQL, Python, R, Java…
  • 9. Third Broaden your pool of candidates Diversity Increases your revenue Promotes innovation Provokes more thought, jolts cognitive action Think outside the box when looking
  • 10. Remember Define your data needs Hire for talent, teach tech skills Look outside the box for a diverse pool
  • 11. Data.You can do it! Sara Vera sarav@insight.ly Thank You