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Reflect ions on the data science profession in NYC(A series of anecdotes, and options, based on one person’s biased experience and observat ions — mostly in New York City)
Plot by Eric Fischer 10K geo-located tweets on a map
https://flic.kr/p/bhfC8P
A very brief history DS @ NYC
⌛📜🔍
https://flic.kr/p/EEDGoF https://flic.kr/p/fwpnDa https://flic.kr/p/BJenWn
https://flic.kr/p/asLxyf
https://flic.kr/p/EEDGoF https://flic.kr/p/fwpnDa https://flic.kr/p/BJenWn
https://flic.kr/p/asLxyf
https://flic.kr/p/EEDGoF https://flic.kr/p/fwpnDa https://flic.kr/p/BJenWn
https://flic.kr/p/asLxyf
https://flic.kr/p/EEDGoF https://flic.kr/p/fwpnDa https://flic.kr/p/BJenWn
https://flic.kr/p/asLxyf
https://flic.kr/p/EEDGoF https://flic.kr/p/fwpnDa https://flic.kr/p/BJenWn
Things we did to celebrate
👏🎉🙌
Developed professional DS as a big tent
👯🎪🎓
Data Engineering
Database design
Backend architecture
Security & auditing
Data Engineering
Database design
Backend architecture
Security & auditing
Machine Learning
Production quality
Scaling and deploying
Internal tooling
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
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
Made “data for good” more than data dives
🤔💭❌
We started the “data for good” movement
May, 2014: The Social, Cultural & Ethical Dimensions of “Big Data.”
Things we do that still suck
🖕😡☠
Language wars hurt data science more
⚔📢😩
What email service will my daughter use?
Photo: https://flic.kr/p/jtkrV9
Law of instrument in DS: your hammer breaks our tent
Language wars are source much imposter syndrome in DS
Your hiring process is probably awful
🙈🙉🙊
The best data scientist can write backward on glass.
📞
⌨
“Live code a function that groups this arbitrary data in this arbitrary way…keeping track of the timestamps.”
📞
⌨
“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.”
📞
⌨
“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.”
Connect the interview to the work!
Lack data science career track
🗺👣>
http://www.indeed.com/jobtrends/“data scientist".html
Data Engineering Machine LearningResearch &
DevelopmentMarketing &
Communication
How do we develop leaders inside our big tent?
Software Engineering
Data Engineering Machine LearningResearch &
DevelopmentMarketing &
Communication
Software Engineering
Lab Director
Data Engineering Machine LearningResearch &
DevelopmentMarketing &
Communication
Software Engineering
Lab Director Product Manger
Data Engineering Machine LearningResearch &
DevelopmentMarketing &
Communication
Chief Data Officer
Software Engineering
Lab Director Product Manger
Data Engineering Machine LearningResearch &
DevelopmentMarketing &
Communication