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The Hard Lessons of Managing a Data Science Team
This story was originally published on HackerNoon at: https://hackernoon.com/the-hard-lessons-of-managing-a-data-science-team. From analyst to team lead in 2 years: the 4 hard lessons that turned a struggling data science team into one of the company's top-rated departments. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #data-leadership, #team-productivity, #career-advice, #data-team, #data-team-management, #analytics-leadership, #stakeholder-trust, and more. This story was written by: @maxbilychenko. Learn more about this writer by checking @maxbilychenko's about page, and for more stories, please visit hackernoon.com. Becoming a data science manager exposed gaps no amount of coding skill could fill. After inheriting a team with rock-bottom satisfaction scores and a reputation for unreliable results, I built a 4-pillar framework: fixing output quality, protecting focus with a duty-rotation system, raising the technical bar through knowledge sharing, and overhauling how the team planned and got recognized. Rework dropped from 50% to under 10%. Satisfaction climbed from last place to one of the top departments company-wide.
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