{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"The Hard Lessons of Managing a Data Science Team","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/bd728ecf\"></iframe>","width":"100%","height":180,"duration":762,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/the-hard-lessons-of-managing-a-data-science-team.\nFrom 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.\nCheck more stories related to data-science at: https://hackernoon.com/c/data-science.\n            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.\nThis story was written by: @maxbilychenko. Learn more about this writer by checking @maxbilychenko's about page,\n            and for more stories, please visit hackernoon.com.\nBecoming 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.","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}