Designing a Data Science Organization - Lisa Cohen

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

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