Best Practices to Attract, Hire and Develop Data Science Talent
How many traditional data scientists you need and what their supporting cast looks like
The best options for training and education in data science and machine learning
Organizational principles for data science teams placement
EDT: 10:00 a.m. | PDT: 7:00 a.m. | BST: 15:00
Successful data science teams need more than data scientists. You need to attract, hire and develop data engineers, developers, machine learning specialists and domain experts. Training and upskilling are also vital components, as citizen data scientists become the leading source of new models and even expert data scientists struggle to keep up with the latest techniques and innovations. This complimentary webinar focuses on the most recent market trends you must know to shape strategic planning and organizational development initiatives that support data science outcomes for your organization.
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