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 MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html