2. Demystifying the Data Scientist Dan McClary, Ph.D. Big Data Product Management Oracle Note: The speaker notes for this slide include detailed instructions on how to customize this Title Slide with your own picture. Tip! Remember to remove this text box. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. |

3. Data Scientists: By The Numbers What’s a Data Scientist? Do I need a Data Scientist? How do I grow my own Data Scientist? 1 2 3

4. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | What’s a Data Scientist

5. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | What’s Data Science Buzzword or Essential Discipline? The buzz around “Data Science” is growing But isn’t it a bit like saying “chai tea?” What is a functional definition for data science?

6. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | A Working Definition Data Science seeks to – Extract meaning from data – Create “data products” – Use all available data to tell a valuable story to non-practioners So what makes a Data Scientist?

7. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Anatomy of a Data Scientist Statistical analysis Scientific training PhD in Computer Science? Statistics? Physics? Biology?! Production-grade programmer in Java? Python? SQL Business sensibility Visualization IT Operations Databases Design Sensibility Published researcher BI Tools Machine Learning Pattern Recognition Competitive Intelligence Hadoop Big Data Excellent Communicator/Presenter Javascript

8. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Anatomy of a Data Scientist Does anyone like that even exist?

9. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Anatomy of a Data Scientist: Revised Value Proposition Goals Communicate Results Techniques Interpretation Model Requirements Integration Manipulation Quality Assurance A person who has some degree of experience in each of

10. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Do I Need a Data Scientist?

11. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Do You Need A Data Scientist? Do you need an army of PhDs to solve machine learning problems? – Probably not Could you find more value in the data you do and can collect? – Undoubtedly Do you need people to find that value – Almost certainly

12. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Fitting for Data Scientists Where? – Kaggle.com – a community for Data Science +100,000 members – KDNuggets – forum for Data Mining and Data Science Who do I hire? – Some call themselves “data scientists,” but most call themselves Mathematicians Scientists Reasearchers Physicists Who? Where? How Many?

13. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Fitting for Data Scientists Most organizations will benefit from a few seasoned data scientists – Help transition to a more data-driven business – Direct efforts to integrate analytics more tightly with LoBs – Good understanding of how to tackle new problems Data scientists can be grown at home – Leverage the existing workforce – Provide growth opportunities for employees How many do I need?

14. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | How do I grow Data Scientists?

15. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Step #1: Find Motivated Individuals Developers who want to – Become more statistically oriented – Better understand business challenges Business Analysts who – Have some programming ability – Want to grow their technical capabilities All candidates should – Possess tremendous curiosity – Be able to self-manage Sources for Good Candidates

16. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Step #2: Find Low-Hanging Fruit Find a project that has – High ROI – Limited, defined scope – Isn’t impossible Define – The business value – The time to invest Analytically Important, Not Impossible Value to Business Time to Answer

17. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Step #3: Combine Add your data science team And the well-defined project – Add a seasoned data scientist for best results Watch the team grow new skills Evaluate the outcome – For the team members – For the business And Iterate

18. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Step #4: Publish and Promote Share Data Science Results as a Service Data Scientist Useful Derived Dataset Anyone Spark

19. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Summary What is a Data Scientist – Someone who can help drive value through data Do you need one? – Possibly Can you grow a data scientist – Absolutely

20. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. |