The Hard Lessons of Managing a Data Science Team

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.