[pmart123]

In my mind, that is a hard question to assess. Hopefully, more tools will exist for automating data cleaning and ETL such as handling third-party data schemas and integrations, data errors, and so forth. I don't this means data science jobs will be eliminated. Rather, one data scientist should be able to handle integrating more data sources and investigating a larger number of models. New and novel data will continuously present itself though, and if the total volume of data continues to grow at its current rate, these tools might just allow for a data scientist to keep pass with the growth of data. Hopefully though, progress allows for everyone to focus on higher-level tasks versus cleaning data and building pipelines.