Reflection on the Data Science Profession in NYC
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Delivered by Drew Conway (CEO, Alluvium) at the 2016 New York R Conference on April 8th and 9th at Work-Bench.
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Reflection on the Data Science Profession in NYC
- 1. Reflections on the data science profession in NYC (A series of anecdotes, and options, based on one person’s biased experience and observations — mostly in New York City) Plot by Eric Fischer 10K geo-located tweets on a map https://flic.kr/p/bhfC8P
- 2. A very brief history DS @ NYC ⌛📜🔍
- 8. Things we did to celebrate 👏🎉🙌
- 9. Developed professional DS as a big tent 👯🎪🎓
- 13. Data Engineering Database design Backend architecture Security & auditing
- 14. Data Engineering Database design Backend architecture Security & auditing Machine Learning Production quality Scaling and deploying Internal tooling
- 15. Data Engineering Database design Backend architecture Security & auditing Machine Learning Production quality Scaling and deploying Internal tooling Research & Development Social science Natural science Experimentation Data exploration Model building
- 16. Data Engineering Database design Backend architecture Security & auditing Machine Learning Production quality Scaling and deploying Internal tooling Research & Development Social science Natural science Experimentation Data exploration Model building Marketing & Communication Visualization Stakeholder MGMT Data feedback
- 17. Made “data for good” more than data dives 🤔💭❌
- 18. We started the “data for good” movement
- 19. May, 2014: The Social, Cultural & Ethical Dimensions of “Big Data.”
- 20. Things we do that still suck 🖕😡☠
- 21. Language wars hurt data science more ⚔📢😩
- 22. What email service will my daughter use?
- 23. Photo: https://flic.kr/p/jtkrV9 Law of instrument in DS: your hammer breaks our tent
- 26. Language wars are source much imposter syndrome in DS
- 27. Your hiring process is probably awful 🙈🙉🙊
- 28. The best data scientist can write backward on glass.
- 29. 📞 ⌨ “Live code a function that groups this arbitrary data in this arbitrary way…keeping track of the timestamps.”
- 30. 📞 ⌨ “Live code a function that groups this arbitrary data in this arbitrary way…keeping track of the timestamps.” 📝 🗓 “Do this random take home that we made from public data, and from which we may never give you feedback.”
- 31. 📞 ⌨ “Live code a function that groups this arbitrary data in this arbitrary way…keeping track of the timestamps.” 🕵 📊 “Go to the whiteboard and specify a model that solves this problem I have been thinking about for six months.” 📝 🗓 “Do this random take home that we made from public data, and from which we may never give you feedback.”
- 32. Connect the interview to the work!
- 33. Lack data science career track 🗺👣>
- 35. Data Engineering Machine Learning Research & Development Marketing & Communication How do we develop leaders inside our big tent?
- 36. Software Engineering Data Engineering Machine Learning Research & Development Marketing & Communication
- 37. Software Engineering Lab Director Data Engineering Machine Learning Research & Development Marketing & Communication
- 38. Software Engineering Lab Director Product Manger Data Engineering Machine Learning Research & Development Marketing & Communication
- 39. Chief Data Officer Software Engineering Lab Director Product Manger Data Engineering Machine Learning Research & Development Marketing & Communication
- 40. EMPOWERING TEAMS TO PERFECT PRODUCTION dc@alluvium.io