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What Makes A Great Data Scientist?
Bill Franks
Chief Analytics Officer, Global Alliances, Teradata

  Bill.Franks@Teradata.com
  @BillFranksGA       www.Bill-Franks.com
  www.linkedin.com/in/billfranksga
  www.youtube.com/user/billfranksga/videos?view=1

  www.tamingthebigdatatidalwave.com
The Big Data Tidal Wave Is Coming…

…Will your organization have the right talent to tame it?




2    Confidential and proprietary.
Who Is The Data Scientist?

                               Analyst
                                           Data Scientist



     Statistician                             Advanced
                                               Analytics
                                              Consultant
    Predictive
     Modeler
                Common Question:
                                           Data Miner
            Do others share your view of
                  the similarities?
3    Confidential and proprietary.
Data Scientists:
     Common Misconceptions Miss The Mark
  • It is not just about:
      •   Programming skills
      •   Statistics and math skills
      •   Advanced degrees in relevant fields
      •   Specific industry experience
  • Hire knowledge and skills, not just check boxes!
  • Most great analytic professionals are an exception
      • Some examples…




Many skills are necessary, but not sufficient
 4    Confidential and proprietary.
Some Critical, Yet Underrated, Traits Of A
    Great Data Scientist

    • Commitment

    • Creativity

    • Business Savvy

    • Presentation Skills

    • Intuition
    Note: The traits are listed in no particular order    Common Question:
                                                         What about other traits?
5      Confidential and proprietary.
Commitment
    Traits Of Great Data Scientists (1 of 5)
• Commitment benefits every profession
• People either have it or they don’t
• Don’t waste your time on someone without it




6     Confidential and proprietary.
Commitment
    Traits Of Great Data Scientists (1 of 5)
Assessing candidates:
      •   Listen carefully to how a candidate describes their work
      •   How do they deal with problems?
      •   Do they go the extra mile?
      •   Once hired, it is very easy to see if someone has this or not




7     Confidential and proprietary.
Creativity
    Traits Of Great Data Scientists (2 of 5)
• This is not the first thing most people think about
• Every analytic endeavor is different…
• Every data source has issues…
• There are many ways to frame a problem…
• Need to aim for improvement, not perfection




         Common Question:
       Aren’t analytics all about
     formulas and not creativity?
8     Confidential and proprietary.
Creativity
    Traits Of Great Data Scientists (2 of 5)
Assessing candidates:
      • Creativity is a rare trait in those with the technical skills
      • Ask how they dealt with some “Oh #$%@!!!” moments
      • A creative person will have a good story, not a list of steps




9     Confidential and proprietary.
Business Savvy
 Traits Of Great Data Scientists (3 of 5)
• Data Scientists are an odd hybrid
• Strong business and technical skills are required
• Ability to focus on the important is key
• Cultural awareness is critical
• Business savvy ≠ experience



                                           Common Question:
                                     Are there any other examples of
                                       focusing on the important?
10   Confidential and proprietary.
Business Savvy
 Traits Of Great Data Scientists (3 of 5)
Assessing candidates:
     • Ask why they made the decisions they did
     • You should hear some practical and business considerations
     • If you just hear technical criteria, be wary




11   Confidential and proprietary.
Presentation Skills
 Traits Of Great Data Scientists (4 of 5)
• Must be able to engage non-technical audiences
• Technical details will lose a business audience
• Results aren’t the most important factor of success
• Why do the results matter & what should be done?
• It is all about storytelling…




12   Confidential and proprietary.
Presentation Skills
 Traits Of Great Data Scientists (4 of 5)
Assessing candidates:
      • Take a test drive: Have them present at the interview
      • Ask for articles, white papers, etc.
      • Check out their social media presence
      • You’ll see exactly where they stand




      Common Question:
     Do even junior people
       need these skills?

13    Confidential and proprietary.
Presentation Skills
 Traits Of Great Data Scientists (4 of 5)
• Below are actual slides from a candidate presentation
• The person did not get the job…




14   Confidential and proprietary.
Intuition
 Traits Of Great Data Scientists (5 of 5)
• Very hard to quantify
• Is the right decision usually made the first time?
• Must win trust from business partners
• Analysis requires a lot of art with the science
• Must be a data artist as well as a data scientist!




15   Confidential and proprietary.
Intuition
 Traits Of Great Data Scientists (5 of 5)
Assessing candidates:
     • Hard to list criteria that aren’t too “squishy” for HR
     • Ask about background in art, music, or other creative area
     • Once hired, you’ll see over time if someone has it




                                           Common Question:
                                       Does artistry imply that two
                                      people will get two answers to
                                           the same problem?

16   Confidential and proprietary.
Does Big Data Change Everything?

> No…
> Your fundamental data and analytic strategies
  won’t change…
> You may need some new tools and tactics…
> However, the big picture remains:
           Driving value from data through effective analytics




                   The right people will help you tame it!
17   Confidential and proprietary.
Great Data Scientists…

     • “Get” data

     • “Get” the business issues

     • “Get” how to frame problems

     • “Get” that they are artists as well as scientists

     • Will be able to tame big data for you!




18    Confidential and proprietary.
Thank You!

 Bill.Franks@Teradata.com
 @BillFranksGA       www.Bill-Franks.com
 www.linkedin.com/in/billfranksga
 www.youtube.com/user/billfranksga/videos?view=1

 www.tamingthebigdatatidalwave.com

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What Makes A Great Data Scientist?

  • 1. What Makes A Great Data Scientist? Bill Franks Chief Analytics Officer, Global Alliances, Teradata Bill.Franks@Teradata.com @BillFranksGA www.Bill-Franks.com www.linkedin.com/in/billfranksga www.youtube.com/user/billfranksga/videos?view=1 www.tamingthebigdatatidalwave.com
  • 2. The Big Data Tidal Wave Is Coming… …Will your organization have the right talent to tame it? 2 Confidential and proprietary.
  • 3. Who Is The Data Scientist? Analyst Data Scientist Statistician Advanced Analytics Consultant Predictive Modeler Common Question: Data Miner Do others share your view of the similarities? 3 Confidential and proprietary.
  • 4. Data Scientists: Common Misconceptions Miss The Mark • It is not just about: • Programming skills • Statistics and math skills • Advanced degrees in relevant fields • Specific industry experience • Hire knowledge and skills, not just check boxes! • Most great analytic professionals are an exception • Some examples… Many skills are necessary, but not sufficient 4 Confidential and proprietary.
  • 5. Some Critical, Yet Underrated, Traits Of A Great Data Scientist • Commitment • Creativity • Business Savvy • Presentation Skills • Intuition Note: The traits are listed in no particular order Common Question: What about other traits? 5 Confidential and proprietary.
  • 6. Commitment Traits Of Great Data Scientists (1 of 5) • Commitment benefits every profession • People either have it or they don’t • Don’t waste your time on someone without it 6 Confidential and proprietary.
  • 7. Commitment Traits Of Great Data Scientists (1 of 5) Assessing candidates: • Listen carefully to how a candidate describes their work • How do they deal with problems? • Do they go the extra mile? • Once hired, it is very easy to see if someone has this or not 7 Confidential and proprietary.
  • 8. Creativity Traits Of Great Data Scientists (2 of 5) • This is not the first thing most people think about • Every analytic endeavor is different… • Every data source has issues… • There are many ways to frame a problem… • Need to aim for improvement, not perfection Common Question: Aren’t analytics all about formulas and not creativity? 8 Confidential and proprietary.
  • 9. Creativity Traits Of Great Data Scientists (2 of 5) Assessing candidates: • Creativity is a rare trait in those with the technical skills • Ask how they dealt with some “Oh #$%@!!!” moments • A creative person will have a good story, not a list of steps 9 Confidential and proprietary.
  • 10. Business Savvy Traits Of Great Data Scientists (3 of 5) • Data Scientists are an odd hybrid • Strong business and technical skills are required • Ability to focus on the important is key • Cultural awareness is critical • Business savvy ≠ experience Common Question: Are there any other examples of focusing on the important? 10 Confidential and proprietary.
  • 11. Business Savvy Traits Of Great Data Scientists (3 of 5) Assessing candidates: • Ask why they made the decisions they did • You should hear some practical and business considerations • If you just hear technical criteria, be wary 11 Confidential and proprietary.
  • 12. Presentation Skills Traits Of Great Data Scientists (4 of 5) • Must be able to engage non-technical audiences • Technical details will lose a business audience • Results aren’t the most important factor of success • Why do the results matter & what should be done? • It is all about storytelling… 12 Confidential and proprietary.
  • 13. Presentation Skills Traits Of Great Data Scientists (4 of 5) Assessing candidates: • Take a test drive: Have them present at the interview • Ask for articles, white papers, etc. • Check out their social media presence • You’ll see exactly where they stand Common Question: Do even junior people need these skills? 13 Confidential and proprietary.
  • 14. Presentation Skills Traits Of Great Data Scientists (4 of 5) • Below are actual slides from a candidate presentation • The person did not get the job… 14 Confidential and proprietary.
  • 15. Intuition Traits Of Great Data Scientists (5 of 5) • Very hard to quantify • Is the right decision usually made the first time? • Must win trust from business partners • Analysis requires a lot of art with the science • Must be a data artist as well as a data scientist! 15 Confidential and proprietary.
  • 16. Intuition Traits Of Great Data Scientists (5 of 5) Assessing candidates: • Hard to list criteria that aren’t too “squishy” for HR • Ask about background in art, music, or other creative area • Once hired, you’ll see over time if someone has it Common Question: Does artistry imply that two people will get two answers to the same problem? 16 Confidential and proprietary.
  • 17. Does Big Data Change Everything? > No… > Your fundamental data and analytic strategies won’t change… > You may need some new tools and tactics… > However, the big picture remains: Driving value from data through effective analytics The right people will help you tame it! 17 Confidential and proprietary.
  • 18. Great Data Scientists… • “Get” data • “Get” the business issues • “Get” how to frame problems • “Get” that they are artists as well as scientists • Will be able to tame big data for you! 18 Confidential and proprietary.
  • 19. Thank You! Bill.Franks@Teradata.com @BillFranksGA www.Bill-Franks.com www.linkedin.com/in/billfranksga www.youtube.com/user/billfranksga/videos?view=1 www.tamingthebigdatatidalwave.com