Cesar Mierzejek | Data Science Leadership Skills

Kinga and Cesar discuss Cesar’s career at IBM and the skills he needed to learn to be a top data scientist. The key topics explored include: learning to communicate the value of your work and why it matters, being succinct and focusing on what your stakeholder needs; although unintuitive, learning about product management as it has helped him focus on the customers for the model; and finally, becoming a lifelong learner.

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