How to get Data Science and Machine learning jobs

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How to get Data Science and Machine learning jobs
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• Data science and machine learning have picked up
  its momentum since 2017.
• With the rapid adoption of Artificial
  Intelligence (AI), it will take up more growth
  covering almost all industries.
• No doubt, this shows a steady path of the job
  opening in the field of data science and machine
  learning in coming years.
• With promising career and salary package,
  obviously, this will be most sought-after job
  role next to Big data and analytics.
• As almost all big MNCs are recruiting people for
  data science roles in almost all job sites, you
  will find openings for these roles.

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Step 1 Acquire necessary technical skills

• To be a data scientist one must be technically
  sound.
• The technical area of data science is widespread
  as it deals with many aspects like programming,
  statistics, computing, DBA activity,
  understanding and handling OS like UNIX, working
  in a distributed computing environment and many
  more.
• Programming skills
• R, Python, Scala, C, MATLAB, Java, SQL are some
  of the languages which are frequently used for
  data science programming. Hence, to get a job as
  a data scientist, you should know one or more
  languages.

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• Science and statistical ability
• Data science mostly handles lots of machine
  learning algorithms. Apart from that as a data
  scientist, you must have a good understanding of
  different statistical models and probability.
• Familiarity with UNIX
• Most of the data science projects are run in UNIX
  environment. Hence, you should know basic UNIX
  commands and must know UNIX operating system.

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• Knowledge of distributed computing
• Usually, data science projects handle large
  datasets which cannot be managed on a single
  machine.
• Hence, most of the cases they are distributed
  across a cluster.
• Hence, as a data scientist, you must gain
  knowledge on distributed computing and get
  acquainted with tools like Apache Hadoop, Google
  Cloud, and Microsoft Azure, etc.

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• Query language and NoSQL
• As data science deals with big data or a large
  set of unstructured data, traditional databases
  are getting obsolete gradually. So, knowing SQL
  and NoSQL databases is getting mandatory for a
  data scientist.
• Data science tools
• There are plenty of tools for data science
  activities like data sourcing, storing,
  visualization, querying, processing, etc. To get
  a job knowing such one or more tools based on the
  role is essential.

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• Query language and NoSQL
• As data science deals with big data or a large
  set of unstructured data, traditional databases
  are getting obsolete gradually. So, knowing SQL
  and NoSQL databases is getting mandatory for a
  data scientist.
• Data science tools
• There are plenty of tools for data science
  activities like data sourcing, storing,
  visualization, querying, processing, etc. To get
  a job knowing such one or more tools based on the
  role is essential.

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• Step 2 Educational background

• Educational background plays a major role during
  the selection process of a data scientist. No
  matter with any educational degree you can
  proceed for the career of a data scientist.
• But a master or Ph.D. in Data science or Machine
  learning is the first choice in the selection.
• However, as data science needs mathematical and
  statistical understanding as primary criteria, so
  if you are a Ph.D. or Masters in Statistics or
  Mathematics, definitely you edge over others.
• The next majority group comes to the Engineering
  graduates from Computer science background.

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• Step 3 Experience matters a lot

• If the educational background is one criterion,
  the experience is another way plays a vital role.
  
• Even if you dont have Ph.D. or Masters in the
  core subject if you have a good internship in
  Data science you can easily reach the top
  position.
• Nowadays companies are training their existing
  employees like software engineers and consultants
  for the specified roles.

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• Step4 Prepare for the interview

• A data science interview will not only look into
  your technical ability or experience but also
  your communication skill, business acumen,
  analytical ability, intellectual ability.
• Hence, along with interview questions, problem
  scenarios, brush up these areas to crack the
  interview.

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• Conclusion Technology is advancing every day.
  Whether or not you have a data science
  background, it is advisable to take an online
  course to achieve better knowledge and
  confidence.
• Learnbay organizes Data Science Course in
  Bangalore online along with Data Science training
  in Bangalore.
•  Keeping in mind the market demand and trend we
  have also combined Big data Analytics training in
  Bangalore along with data science courses.

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