In the recent year data science has become inextricable from day to day operations. Data science is employed in Products, Marketing, Engineering and sales to make crucial decisions. Sensational statements of ‘Data Scientist’ being the sexiest job has skyrocketed the popularity of this nerdy job title.

1. Types of Data Scientist

3. Data Researcher
 The professionals in this category
come from the academic world and
have in-depth backgrounds in
statistics or the physical or social
sciences.
 This type of data scientist often holds
a PhD but is weakly skilled in Machine
learning, Programming or Business.

5. Data Developer
 These guys tend to concentrate on
technical issues that come with
handling data.
 They are strong in programming and
machine learning but weak in
business and statistics skills.

7. Data Creatives
 These are the guys who make
something innovative out of mountains
of data.
 They are strongly skilled in machine
learning, Big Data, programming and
other skills to handle massive data.

9. Data Business People
 They represent the business side and
are responsible for making vital
business decisions through data
analytics techniques.
 They are an eclectic blend of business
and technical proficiency.

11. Product Data Scientists
 Product data scientists fit in to product
management or engineering.
 Their job is to sift through logs and
analysis tools, to understand the way
users make use of a product and
make use of that knowledge to fine
tune the product.

12. Stay Tuned With Us for More
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Source: http://www.edureka.co/blog/types-of-data-
scientists/