Top 31 Tips to Ensure a Data Science Team Succeeds

[Shicheng-Guo]

https://www.theseattledataguy.com/top-30-tips-data-science-team-succeeds/#page-content

1. Get Executive Ownership
2. Be bold, tell your manager they are wrong…with data
3. Gain the trust of your peers
4. Successfully implement a simple project first
5. Communicate the value of your project
6. Standardize your data science processes
7. Don’t Box In your Data Science Teams
8. Plan, Plan, Plan..but don’t plan too much
9. Play well with other departments
10. Learn from as many SMEs as possible
11. Remove company bias
12. Challenge Status Quo! Be a Rebel
13. Use data to drive initiatives
14. Build a prototype first for early buy in
15. Design for robustness and maintainability
16. Work to automate yourself out of boring work
17. Get a Data Science Guide
18. Write your own data science guide
19. Learn to creatively gather and classify data before you start
20. Build your systems to properly gather data first
21. Collect as much clean data as possible
22. Be a great story teller(Hans Rosling was and really still is one of the Best!)
23. Communicate the internal and external values of data science to management
24. Learn management’s processes
25. Understand executives strategies and their whys
26. Be able to explain to your managers and leadership your failures
27. Seek outside intervention when necessary
28. Read just enough outside news to be inspired
29. Question every project you do
30. Be Positive!
31. Make a decision, give an actual opinion