Highly Effective Data Science Teams

Read more at https://medium.com/mit-media-lab/highly-effective-data-science-teams-e90bb13bb709

Transcript

1. Highly Effective Data Science Teams Drew Harry Director of Science
7. 1771 2016 US Census finds 11,000 engineers ASME founded First civil engineering society pre-IEEE founded via Gil Press’ “A Very Short History of Data Science First “data science” conference First mention of “data scientist” “Building Data Science Teams” Data Science Engineering ACM founded
8. research Engineering make build invent Data Science ??? study measure
9. Infrastructure Focus Data Problems
10. 10 Questions! Focus Friction Process Results
11. Do you spend the vast majority of your time on projects that take longer than a day? M T W Th F M T W Th F FOCUS
12. Do people in the organization have ways to access basic data without asking a data scientist? FOCUS
13. Do you spend more time doing analysis than waiting for data? query’s running data scientist querying! FRICTION
14. Is there documentation for major schemas? FRICTION
15. Do you have a process for detecting and fixing bugs in data collection? FRICTION
17. Is past research work documented and available in a central location? Does the team have a regular process for reviewing work before sharing it? PROCESS
18. Do you run randomized and controlled experiments? PROCESS
19. Can you report negative results without major political pressure? RESULTS
20. Can the CEO (or other leader) name at least one way the team contributed that quarter? RESULTS “science-announce is the single best mailing list at the company, and you should all subscribe to it.” – Emmett Shear, Twitch CEO
21. Thanks! science.twitch.tv @drewwww