Data Science teams need people with multiple skill sets

Data science career path doesn’t have to be purely technical. A data science team needs multiple skill sets. In this episode, Phil Bangayan, Principal Data Scientist at Teradata, talks about his career path from an electrical engineering background to MBA to Finance to Marketing and Data science. Phil talks about the need for the data science team to be able to communicate the outcomes of models in an understandable manner with CXOs. Phil also talks about the need for data science teams to have people with multiple skill sets.

Om Podcasten

The primary goal of Data Transformers podcast is to accelerate digital transformation by bridging the gap between business goals and technology initiatives using Data as glue. Visit https://datatransformerspodcast.com for more details. With the rapid advancement of technologies such as AI, ML, IOT, Cloud computing et al and the explosion of data that these technologies rely on, it is absolutely important to manage the data in intelligent and efficient ways. We’d like to enable that by interviewing the transformers in the industry who are leading the way in digital transformation. We also would like to bring our perspectives, latest trends and most valuable resources to you so you could be a data transformer in your organization.