56 min listen
Designing a Data Science Organization - Lisa Cohen
FromDataTalks.Club
ratings:
Length:
51 minutes
Released:
Jul 8, 2022
Format:
Podcast episode
Description
We talked about:
Lisa’s background
Centralized org vs decentralized org
Hybrid org (centralized/decentralized)
Reporting your results in a data organization
Planning in a data organization
Having all the moving parts work towards the same goals
Which approach Twitter follows (centralized vs decentralized)
Pros and cons of a decentralized approach
Pros and cons of a centralized approach
Finding a common language with all the functions of an org
Finding the right approach for companies that want to implement data science
How many data scientists does a company need?
Who do data scientists report huge findings to?
The importance of partnering closely with other functions of the org
The role of Product Managers in the org and across functions
Who does analytics at Twitter (analysts vs data scientists)
The importance of goals, objectives and key results
Conflicting objectives
The importance of research
Finding Lisa online
Links:
LinkedIn: https://www.linkedin.com/in/cohenlisa/
Twitter: https://twitter.com/lisafeig
Medium: https://medium.com/@lisa_cohen
Lisa Cohen's YouTube videos: https://www.youtube.com/playlist?list=PLRhmnnfr2bX7-GAPHzvfUeIEt2iYCbI3w
MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Lisa’s background
Centralized org vs decentralized org
Hybrid org (centralized/decentralized)
Reporting your results in a data organization
Planning in a data organization
Having all the moving parts work towards the same goals
Which approach Twitter follows (centralized vs decentralized)
Pros and cons of a decentralized approach
Pros and cons of a centralized approach
Finding a common language with all the functions of an org
Finding the right approach for companies that want to implement data science
How many data scientists does a company need?
Who do data scientists report huge findings to?
The importance of partnering closely with other functions of the org
The role of Product Managers in the org and across functions
Who does analytics at Twitter (analysts vs data scientists)
The importance of goals, objectives and key results
Conflicting objectives
The importance of research
Finding Lisa online
Links:
LinkedIn: https://www.linkedin.com/in/cohenlisa/
Twitter: https://twitter.com/lisafeig
Medium: https://medium.com/@lisa_cohen
Lisa Cohen's YouTube videos: https://www.youtube.com/playlist?list=PLRhmnnfr2bX7-GAPHzvfUeIEt2iYCbI3w
MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Released:
Jul 8, 2022
Format:
Podcast episode
Titles in the series (100)
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