Cesar Mierzejek | Data Science Leadership Skills

Kinga and Cesar discuss his 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 life long learner.

Links mentioned in this episode:

• IBM Data Science Community