DataTalks.Club

Designing a Data Science Organization - Lisa Cohen

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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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