Bridging the Gap Between Data Science & Engineer: Building High-Performance Teams

Data scientists, data engineers, and data businesspeople are critical to leveraging data in any organization. A common complaint from data science managers is that data scientists invest time prototyping algorithms, and throw them over a proverbial fence to engineers to implement, only to find the algorithms must be rebuilt from scratch to scale. This is a symptom of a broader ailment -- that data teams are often designed as functional silos without proper communication and planning. This talk outlines a framework to build and organize a data team that produces better results, minimizes wasted effort among team members, and ships great data products. Read less