As we know, BigData is considered to be a part of the Data Science Workflow which is used to analyze insights which can lead to better decisions and strategic business moves. 

Talking about https://www.janbasktraining.com/blog/data-science-tutorial/ , it is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways. 

BigData is more inclined towards analytics, handling large amount of raw data, processing it, and thus observing it using tools like Hadoop, Spark, Hive, Pig, Yarn, Mahout, etc.

While Data Science is a vast domain levitated towards observing the data, building inferences and models on top of the data.

Job insights of these are:

Data Scientists:

• Processing, cleansing and verification of data
• Extract any possible information from data
• Analyze the usefulness of the data

Big data analysts:

• Track the trends and patterns of complex data sets.
• Data Mining and auditing
• Proper exploration of raw data

So, it’s your choice to work for innovation or raw data!