Top Career Opportunities in Data Science

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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 scientists 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, its not hard to see
why data scientists are called the current
generations 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.
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Data Scientist

• 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
• A bachelors degree in a related field like Math,
  Physics, Computer Science, Engineering etc. (This
  is a compulsory pre-requisite to foray into the
  field)
• A masters 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
  bachelors degree can provide an easy start in
  the data scientist career path)

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BUSINESS INTELLIGENCE DEVELOPER
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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
laymans 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 bachelors 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 organizations
  growth.

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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)

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Machine Learning Scientist
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• Job description
• As described in our Machine Learning Vs Data
  Science blog, a machine learning engineer/
  scientist is highly in demand within the data
  science field. He/ She is the one responsible for
  developing the algorithm that would train the
  model, which in turn will analyze the given data
  and produce in the form of a structured output.
  This role will require extensive technical
  knowledge and a strong background on programming
  with languages like R and Python.
• Educational requirements
• A bachelors degree in fields like Statistics,
  Engineering etc.
• Extensive programming knowledge
• Online certifications

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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 Ama
zon Average initial salary structure India 7.2
Lakhs per annum (INR) USA 111.5k per annum (USD)
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• 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)

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APPLICATIONS ARCHITECT
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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 bachelors degree (preferably in Computer
  Science, Bioinformatics or Engineering)
• A masters 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)

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• Forms of employment
• Part-Time Not preferred as Applications
  Architects should have a clear understanding of
  the businesss 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)

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INFRASTRUCTURE ARCHITECT
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• Educational requirements
• A bachelors degree (Computer Science or
  Information Technology)
• A masters degree (Not compulsory but preferable
  to venture further on the data science career
  path)
• Forms of employment
• 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.

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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!
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