reflection on the data science profession in nyc
TRANSCRIPT
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.”
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“Live code a function that groups this arbitrary data in this arbitrary way…keeping track of the timestamps.”
📝
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“Do this random take home that we made from public data, and from which we may never give you feedback.”
📞
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“Live code a function that groups this arbitrary data in this arbitrary way…keeping track of the timestamps.”
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“Go to the whiteboard and specify a model that solves this problem I have been thinking about for six months.”
📝
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“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
