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1. Top Career
Opportunities in
Data Science
HENRY HARVIN EDUCATION

2. Reading is easy, comprehension is not. Hearing is easy, listening is not. Similarly, obtaining a
million bytes of data is easy, but parsing through them and forming a structured format of
information is not. Yes, a data scientist’s job is not comfortable, but staying in a comfort zone never
changes the world.
A data scientist is an artist, mathematician and engineer, all rolled in one. Formatting an
unstructured data into a structured format requires a skilled statistician
Creating algorithms to parse and output trained models/subsets of the data expects the expertise
of a machine learning engineer.
Presenting the data in a visually comprehensible and appealing manner entails the services of an
artist.
When one job profile requires these many skills, it’s not hard to see why data scientists are called
the current generation’s superheroes.
Now arises the million-dollar question, “Can I become a data scientist?”. Yes, you definitely can
because the data science field is vast and filled with opportunities that are waiting to be utilized.
In the following sections, we will analyze the data science career, the qualifications required for
the same and average remuneration that can be expected etc. Armed with this knowledge, you
can start on your exciting journey into the data science territory.

3. Data Scientist
A bachelor’s degree in a related field like Math,
Physics, Computer Science, Engineering etc. (This
is a compulsory pre-requisite to foray into the
field)
A master’s degree in a field related to data
science (This is not compulsory, but highly
preferred to rise in the ranks within the field)
Online certifications (This coupled with a solid
bachelor’s degree can provide an easy start in the
data scientist career path)
Job description
Required to mine vast amounts of unstructured data,
and then apply statistical learning, machine learning
methodologies etc. to transform into structured data.
Educational requirements

4. Part-Time: Not highly encouraged,
but increasingly opted by individuals
who love to challenge themselves
with complex data problems of
different kinds. Rather than get
boxed into a particular form of data
analysis
Full-Time: Widely opted form of
employment which ensures stability
and career growth within the chosen
industry. Helps in improving skill on a
particular focus area and becoming a
subject matter expert in said topic.
Forms of employment
IBM
Amazon
Facebook
Apple
Microsoft
Google
India: 8 Lakhs per
annum (INR)
USA: 85k per annum
(USD)
Famous recruiting
companies
Average initial salary
structure

5. BUSINESS
INTELLIGENCE
DEVELOPER

6. Job description
A business intelligence developer is someone who makes
business data understandable to help further the
development of said concern. In colloquial terms, we could
say, a Business Intelligence (BI) developer is the layman’s
data scientist. He/ She uses various BI tools (e.g. Power BI)
to decode the obtained data sets and present it in the forms
of graphs, diagrams or reports etc. in non-technical terms,
that will be feasible for both the business owners and
customers to understand.
A bachelor’s degree (preferably in related fields like
programming or computer science)
Experience is highly valued in this field, since only
someone who has been with a given firm for a
substantial amount of time, would be able to generate
viable data for the organization’s growth.
Educational requirements

7. Forms of employment
Part-Time: Not recommended as BI developers require
extensive company knowledge in addition to technical
know-how.
Full-Time: Most preferred, since job security increases
with experience in a data science career.
Rolls Royce
Dell
Amazon
Microsoft
Discover
India: 6.5 Lakhs per annum (INR)
USA: 73.8k per annum (USD)
Famous recruiting companies
Average initial salary structure

8. Machine
Learning
Scientist

9. A bachel or’ s degree i n fi elds li ke Stati sti cs, Engi neeri ng
etc.
Extensi ve programmi ng knowledge
Onl i ne certi fi cati ons
Job description
As descri bed i n our Machi ne Learni ng Vs Data Sci ence
bl og, a machi ne l earni ng engi neer/ sci enti st i s hi ghl y i n
demand wi thi n the data sci ence fi eld. He/ She i s the one
responsi bl e for devel opi ng the algori thm that woul d trai n
the model , whi ch i n turn wi ll analyze the gi ven data and
produce i n the form of a structured output. Thi s rol e wi l l
requi re extensi ve techni cal knowledge and a strong
background on programmi ng wi th languages l i ke R and
Python.
Educational requirements

10. Forms of employment
Part-Time: Opted by many with extensive programming skills, who
would prefer to freelance and share their expertise widely
Full-Time: Preferred by engineers who have a strong technical
background and are looking to establish their data science career.
Famous recruiting companies
Hotstar
McAfee
MakeMyTrip
Amazon
Average initial salary structure
India: 7.2 Lakhs per annum (INR)
USA: 111.5k per annum (USD)

11. Statistician

12. Google
LinkedIn
Twitter
Facebook
Microsoft
India: 5.5 Lakhs per annum (INR)
USA: 93.5k per annum (USD)
Famous recruiting companies
Average initial salary structure
A bachelor’s degree in Math (preferably statistics)
A master’s degree (Not compulsory but usually held by most statisticians and preferable)
PhD (Will greatly help to advance in the field)Forms of employment
Part-Time: Mostly preferred as statistics is a stronghold for many fields and not just data science, due to which
many Statisticians would prefer not to limit themselves to a single industry
Full-Time: Preferred by individuals with an interest to pursue a data science career.
Job description
A statistician can be considered as the backbone for the entire data science industry since it is the statistician’s
analysis and calculation that helps all the other data science members in their exploration. A statistician should
apply mathematical theories and formula to obtain data that will help further the business
Educational requirements

13. APPLICATIONS
ARCHITECT

14. A bachelor’s degree (preferably in Computer Science,
Bioinformatics or Engineering)
A master’s degree (Not compulsory but preferable as it will help
increase the technical knowledge greatly required to pursue this
branch of the data science career path)
Educational requirements
Job description
An Applications architect oversees the development process behind
software applications or Machine Learning (ML) Algorithms, provides the
necessary technical support for employees to understand the functioning
of the software and creates technical documents for future use.
The Applications Architect acts as the perfect bridge between a Machine
Learning Scientist/ Engineer and a Business Intelligence (BI) Developer. He/
She will have to possess both a technical know-how and a deep business
acumen, the perfectly balanced role.

15. Amazon
IBM
TVS
Wells Fargo
India: 8.1 Lakhs per annum (INR)
USA: 134.5k per annum (USD)
Famous recruiting companies
Average initial salary structure
Part-Time: Not preferred as Applications
Architects should have a clear understanding of
the business’s inner workings which may not be
available to part-time employees
Full-Time: Preferred by individuals with an
interest to excel in the data science career path.
Forms of employment

16. INFRASTRUCTURE
ARCHITECT

17. Job description
This is primarily an IT (Information Technology) related job which requires the Architect
to implement and maintain the complex computer systems and technical
infrastructure. An infrastructure architect will be responsible for ICT (Information and
Communication Technology) performance and security too. This is a highly popular
profile that is not only restricted to data science but compulsorily required in all
industries of the current corporate setup.
In Data Science, with the massive amounts of data that are processed, the need of an
Infrastructure Architect will always be present to help maintain the integrity and safety
of all systems and models.
Another subset of the role is the cloud infrastructure architect, who would be
responsible for all cloud computing activities.

18. A bachelor’s degree (Computer Science
or Information Technology)
A master’s degree (Not compulsory but
preferable to venture further on the data
science career path)
Part-Time: It is not preferred since
Infrastructure Architects are the first line
of defense against any safety or
performance issues. So companies
would prefer to have them full-time to
ensure the smooth functioning of all
systems.
Full-Time: Preferred by companies and
individuals in the field.
Educational requirements
Forms of employment
Ford
IBM
Accenture
Infosys
India: 9 Lakhs per annum
(INR)
USA: 126.4k per annum
(USD)
Famous recruiting companies
Average initial salary
structure

19. Hence, as seen above the scope of data
science careers is quite high and with some
careful research and the proper
qualifications, you could easily start on the
path of your data science career.
For those who have completed their UG or
PG courses and are looking for a foray into
the field, the Henry Harvin Data Science
Courses would be a wonderful online
platform to obtain your certifications and
the coveted data scientist education.
Hurry up to climb up the ladder of
opportunity!

20. Talk to us!
WEBSITE
https://www.henryharvin.com
PHONE
+91 - 9015266266
EMAIL ADDRESS
info@henryharvin.com