DATA SCIENCE WITH ITS CAREER OPTION ALL OVER THE GLOBE
These day data science experts are needed in every sector and not just technology and here we will be talking about some of the leading careers in data science and their job requirements so lets get started coming to the first one and most popular
1.DATA SCIENTIST: data scientist not only understand the language of the data but they can also analyze it and draw insights from it their responsibilities include 1. using machine learning to solve challenging problems , 2. utilizing NPL(Natural Language Processing) and advanced statistics to determine insights 3. analyze and interprets data 4. visualizing and communicates data to help and achieve business goal
2.DATA ANALYST: data analysts are the real troopers of data science they are the one who are involved in gathering the data structing the data bases creating and running models and preparing advance type of analysis to explain the patterns in the data that have already emerged looking at their job role 1.data analyst extracts and analyzes data 2. explains patterns in data 3.devlops and builds analytics model 4converts data into easy to digest format
3.DATA ENGINEER: data engineers implement complex large scale big data focusing on collecting managing analyzing and visualizing large data sets their job include 1pre-process,clean ,organizes big data 2. turns data into powerful insights 3 build and maintain ETL (extract, transform, load) pipelines 4.makes sure big data application work properly
4.DATA ARCHITECT: As the name suggests data architect creates the data base from scratch they design the way the data will be retrieved, processed and consumed they are responsible for 1 design patterns 2.data modeling 3. service oriented integrations 4.business intelligence domains and they often partner with fellow data scientist and IT to reach the company data strategy goals
5.MACHINE LEARNING ENGINEER: machine learning engineers create data funnels and deliver software solutions they typically need strong statistics and programming skills as well as the knowledge of software engineering in addition to designing and building machine learning systems they are also responsible for 1.running tests and experiment’s to monitor the performance and functionality of such systems
6: A STATISTICIAN: Statisticians work to collect analyze and interpret data in order to identify the trends and relationship to make an inform business decision additionally the responsibilities include 1.Design data collection process 2.communicating finding stake holders 3advising organizational strategy
each one of these career paths have a different skill set that is required different companies are seeking different skill sets expertise and experience levels as you look for your ideal data science job make sure you look at the job description to find the role and company to best match your skill and remember you might be more qualified then you think .
We are in a high demand .and why is that because if we are able to perform an operation or getting any result that is because of the data we have we can manipulate the data and make the out comes to be favorable for us. almost in every sector data science plays a vital role now as it is most trending and emerging subject now a days Millions of peoples, schools, businesses and government departments make themselves depended on big data to succeed and to make remarkable future .
Schedlbauer states that “there is a clear need for professionals who understand a business need, can devise a data-oriented solution, and then implement that solution.”
Amazon is a best example of just how helpful can data collection be for the person who is shopping. Amazon’s data in your respective account shows you the things you’ve purchased, how much you’ve paid, and what you’ve searched. and are searching for .This allows Amazon to customize its homepage which would attract you according to your needs.
What Does a Data Scientist Do?
Data scientists answer questions about the problems and business from the context of data. They extract data to create new product and features and keep collecting data on the products regarding their performances . They spend most of time checking on the data to make sure that it is usable for their products and their machine learning algorithms. When you watch movie on any website and see a personalized list of recommended shows, that’s machine learning algorithms and data science at work.
find your right course for pursuing your dreams about data engineering or anything related to your choice find out which way would you like to learn .weather you like solving complex stuff or you liking analyzing then find a course you think is a best match it may be trough online or offline find friends through forums so that you can make a team and work on it attend the sessions and workshops on it develop your ideas on it .
Don’t just stick to the theory part go with the practical so your mind starts being creative . you wont find results in just a day but this trend is not gonna stop in a decade make your self very perfect on it so you would bring up with innovative ideas for future generations
Don’t just have the wrong idea of career you can choose what ever you want . but if you want to choose data science and this is the right place
