In this talk, we will demystify the sometimes perceived interchangeability between Data Scientists and Data Engineers. Both roles are distinct and critical to the success of any Big Data project. However, because there is a limited shared set of skills between the two fields, organizations and companies at times assign Data Scientists and Data Engineers the same tasks. This behavior can add significant risk to the success of any project. We will go over a few examples of how Data Scientists and Data Engineers work together to build a product.
Data Scientist vs Data Engineer: What's the Difference?
Tuesday, April 23, 2019 - 10:05 am
Staff Software Engineer
Kay Ashaolu is a Staff Software Engineer at Nuna, a startup aimed to make health care more accountable and affordable through developing modern data solutions for Medicaid as well as private health plans throughout the country. Kay is also a lecturer for the MIMS and MIDS programs at the School of Information, teaching classes involving the design and implementation of web applications. He was previously a Senior Software Engineer at Ancestry.com, where he helped build data pipelines that determine one's ethnicity and identifies potential relatives among other users. He can be reached on Twitter at @KayAshaolu and on LinkedIn.