Top Career Opportunities in Data Science
                     Top Career Opp
ortunities in Da
ta Science
HENRY HARVIN EDUCATION
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.
Data Job description
Scientist Required to mine vast amounts of unstructured data, and then apply statistical learning, machine 
learning methodologies etc. to transform into structured 
data.
Educational requirements
• 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)
Famous recruiting 
Forms of employment companies
• Part-Time: Not highly encouraged, • IBM
but increasingly opted by individuals • Amazon
who love to challenge themselves • Facebook
with complex data problems of • Apple
different kinds. Rather than get • Microsoft
boxed into a particular form of data • Google
analysis
• Full-Time: Widely opted form of Average initial salary 
employment which ensures stability structure
and career growth within the chosen • India: 8 Lakhs per 
industry. Helps in improving skill on annum (INR)
a particular focus area and • USA: 85k per annum 
becoming a subject matter expert in (USD)
said topic.
BUSINESS 
INTELLIGENCE 
DEVELOPER
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.
Educational requirements
• 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.
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.
Famous recruiting companies
• Rolls Royce
• Dell
• Amazon
• Microsoft
• Discover
Average initial salary structure
• India: 6.5 Lakhs per annum (INR)
• USA: 73.8k per annum (USD)
Machine 
Learning 
Scientist
J ob  desc r ip t i on
As  desc r ibed  i n  ou r  Mach ine  Lea rn ing  Vs  Data  Sc ience  
b log ,  a  mach ine  l ea rn ing  eng ineer /  sc i en t i s t  i s  h igh ly  i n  
demand  w i th in  the  da ta  sc ience  fi e ld .  He /  She  i s  the  one  
respons ib le  fo r  deve lop ing  the  a lgo r i thm tha t  wou ld  t ra in  
the  mode l ,  wh i ch  i n  tu rn  w i l l  ana lyze  the  g i ven  da ta  and  
p roduce  i n  the  fo rm o f  a  s t ruc tu red  ou tput .  Th i s  ro le  w i l l  
requ i re  ex tens ive  techn i ca l  know ledge  and  a  s t rong  
background  on  p rogramming  w i th  l anguages  l i ke  R  and  
Py thon .
Educa t i ona l  requ i rements
• A bache lo r ’ s  degree  i n  fi e lds  l i ke  S ta t i s t i c s ,  
Eng ineer ing  e tc .
• Ex tens ive  p rog ramming  know ledge
• Onl ine  ce r t i fi ca t i ons
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)
Statistician
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
• 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.
Famous recruiting companies
• Google
• LinkedIn
• Twitter
• Facebook
• Microsoft
Average initial salary structure
• India: 5.5 Lakhs per annum (INR)
• USA: 93.5k per annum (USD)
APPLICATIONS 
ARCHITECT
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.
Educational requirements
• 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)
Forms of employment
• 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.
Famous recruiting companies
• Amazon
• IBM
• TVS
• Wells Fargo
Average initial salary structure
• India: 8.1 Lakhs per annum (INR)
• USA: 134.5k per annum (USD)
INFRASTRUCTURE 
ARCHITECT
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.
Educational requirements
• A bachelor’s degree (Computer Science 
or Information Technology)
Famous recruiting companies
• A master’s degree (Not compulsory but 
• Ford
preferable to venture further on the • IBM
data science career path) • Accenture
• Infosys
Forms of employment
• Part-Time: It is not preferred since Average initial salary 
Infrastructure Architects are the first structure
line of defense against any safety or • India: 9 Lakhs per annum 
performance issues. So companies (INR)
would prefer to have them full-time to • USA: 126.4k per annum 
ensure the smooth functioning of all (USD)
systems.
• Full-Time: Preferred by companies and 
individuals in the field.
Hence ,  as  seen  above  the  scope  o f  da ta  
sc ience  ca ree rs  i s  qu i te  h igh  and  w i th  
some ca re fu l  resea rch  and  the  p roper  
qua l i fi ca t i ons ,  you  cou ld  eas i l y  s ta r t  on  
the  pa th  o f  your  da ta  sc ience  ca reer.
Fo r  those  who  have  comp le ted  the i r  UG  o r  
PG  courses  and  a re  l ook ing  fo r  a  f o ray  i n to  
the  fi e ld ,  the  Henry  Harv in  Da ta  Sc ience  
Courses  wou ld  be  a  wonder fu l  on l i ne  
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Hurry  up  to  c l imb  up  the  l adder  o f  
oppor tun i t y !
Talk to us!
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https://www.henryharvin.com
PHONE
+91 - 9015266266
EMAIL  ADDRESS
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