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Data Scientist

Introduction

So, you’re interested in pursuing a Data Science Career? It’s easy to see why. Not only is data science a cutting-edge field that allows you to make an important impact, both
with within your company and on a global scale, it’s also one that’s growing at an
astounding rate.
As an exponentially expanding number of industries see the benefit of using analytical data to improve business practices, big data and data science career opportunities are exploding. Data science related occupations (such as Data Scientists) are likely to enjoy excellent job prospects, as many companies report difficulties finding highly skilled workers. That means there’s more demand for data science professionals than there is supply, which is good
news for data science students and professionals.
As a result of this shortage, you’ll find that there is a wealth of different avenues that a data science career can take. While it’s always good to have options, it can sometimes be difficult to understand how these careers differ and what kinds of skillsets and educational backgrounds are required for each. This can present a challenge for those just starting out in the world of data science.
That’s where our Data Science Career Guide comes in! As in this article, we’ll Learn Data Science – what it is, and how you can become one of the best Data Scientists.

Here is what we’ll look into in this article:

Scope Of Data Science

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.
The data used for analysis can be from multiple sources and present in various formats.
In simple words, in a world that is continuously bombarded with astronomical data of all kinds, data science makes sure that the huge incoming data is properly and efficiently made to use to give maximum profit to the intended business or industry. Data science structures the source data, models it and streamlines its flow to a proper destination.
Now that you understand what data science is, let’s see why data science is essential in the current scenario.
The Scope Of Data Science is growing with every passing year. From 2008 to 2020, people across the globe have stepped on the digitalization age. The massive growth of data provides a glimpse of the future scope of Data Science in India.

1. Health Care Sector

There is a huge requirement of data scientists in the healthcare sector because they create a lot of data on a daily basis. Tackling a massive amount of data is not possible by any unprofessional candidate.

Hospitals need to keep a record of patients’ medical history, bills, staff personal history, and much other information. Data scientists are getting hired in the medical sector to enhance the quality and safety of the data.

2. Transport Sector

The transport sector requires a data scientist to analyze the data collected through passenger counting systems, asset management, location system, fare collecting, and ticketing.

Data Science Jobs

There is a rising demand for data science practitioners around the world. These Data Science Job Opportunities would continue to surge beyond 2020, adding more than 1.5 lakh new jobs. This trend is a natural response to data being an important resource for organizations in the digital age. If you are aspiring for one of the best Career Opportunities In Data Science, then here we’ve listed the top 10 Highest Paid Data Science Jobs in India:

Data Analyst
Data Scientist
Machine Learning Engineer
Machine Learning Scientist
Applications Architect
Data Architect
Enterprise Architect
Infrastructure Architect
Statistician
Business Intelligence Analyst

Why Study Data Science?

In business, the use of Data Science is in varied domains. This gives you ample scope to learn and grow in the role of a Top Data Scientist. Here are the 5 reasons that will surely convince you to make a career in Data Science:

1: Great career trajectory with data science

Yes, you will have rewarding career growth in this field. Data scientists bring tons of value to organizations and are the most sought after roles in today’s scenario and will be in the future.

2: Great potential to branch out with different options

You can choose to branch out as a data engineer, an analyst, or an ML engineer, or even a data science manager

3: Highest salary takeaway quotient

As a Data scientist, you can expect to take away a great salary package. Usual data scientists are paid great salaries, sometimes much above the normal market standards due to the critical roles and responsibilities.

4: Become a decision-maker

ccccNot every job opportunity will give you the power to make informed business decisions. For a data scientist, that is the core responsibility. That is how you kick start. The credibility will always be rewarded because of the lack of talent pool in the ecosystem.

5: Less competitive because it is a highly analytical role

Competition is less, but demand is not. With a limited talent pool, there is always a challenge for businesses to hire in these roles. Once you join in, you become a decision-maker and face less competition from your organization’s peers for you having a unique skill set.

How can you get hired for the Job Position as a Data Scientist?

What Is Data Scientist Job Description?

The Data Scientist is responsible for advising the business on the potential of data, to provide new insights into the business’s mission, and through the use of advanced statistical analysis, data mining, and data visualization techniques, to create solutions that enable enhanced business performance.
The Data Scientist also plays a leading role in the management of a number of projects in support of the business where he is required to leverage and synthesize large volumes and variety of data in order to enhance the business’s understanding of individual population segments, propensities, outcomes, and decision points.
The Data Scientist combines data, computational science, and technology with consumer-oriented business knowledge in the business setting, to drive high-value insights into the business and drive high-impact through the business levers at the business’s disposal.

Data Scientist Job Responsibilities and Duties

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.

Data Scientist Skills

Depending on our research, we determined the subsequent core skills one should own to acquire a job as a Certified Data Scientist.

Strong mathematical & numeracy skills
Intermediate understanding of databases such as SQL Server, Oracle and SAP.
Understanding of reporting & data visualisation tools such as Business Objects, PowerBi and Tableau
Digital marketing analytics tools including Google 360, Google Analytics, Google Tag Manager and Adobe Marketing Suite
Excellent analytical skills - the ability to identify trends, patterns and insights from data
Strong attention to detail
Presentation skills – ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand
Problem solving skills
A good communicator with effective stakeholder management & conflict resolution skills

Qualification

In order to acquire a job as a Certified Data Scientist, one should first earn:

Information Security Analyst Duties And Responsibilities

A bachelor’s degree in Statistics, Mathematics, Computer Science, Machine Learning, Economics, or any other related quantitative field.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Proficient in writing algorithms, and knowing when to apply them.
Excellent understanding of statistics, multivariable calculus, and linear algebra.

As for the required training, a candidate should complete relevant courses/certifications in statistical tools and platforms like SQL, SPSS, SAS, STATA and/or Excel, Mathematical Modeling

Whereas the job experience to apply for the position mandates a candidate to have 0-2

years of work experience/internship in Data Management or Analysis

10 Best Online Courses

Looking to start a career as data scientist? One of these online data science courses and certifications will work best to put you on the right track to mastering data science.

#1. Professional Certificate in Data Science from Harvard University (edX)
#2. Data Science Specialization from Johns Hopkins University (Coursera)
#3 - IBM Data Science Professional Certificate (Coursera)
#4 - MicroMasters Program in Statistics and Data Science from MIT (edX)
#5 - Applied Data Science with Python Specialization by University of Michigan (Coursera)
#6 - Deep Learning Specialization (Coursera)
#7 - Machine Learning Certification by Stanford University (Coursera)
#8 - Data Science MicroMasters Certification by University of California, San Diego (edX)
#9 - The Data Science Course 2020: Complete Data Science Bootcamp (Udemy)
#10 - Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)

Data Scientist Salary (Expected Earnings)

The average salary for Data Scientist Job according to different job experience is as follows:

An entry-level Data Scientist with less than 1 year experience can expect to earn an average total compensation of ₹534,401 based on 547 salaries.
An early career Data Scientist with 1-4 years of experience earns an average total compensation of ₹786,164 based on 2,393 salaries.
A mid-career Data Scientist with 5-9 years of experience earns an average total compensation of ₹1,395,150 based on 827 salaries.
An experienced Data Scientist with 10-19 years of experience earns an average total compensation of ₹1,729,687 based on 216 salaries.
Ability to ideIn their late career (20 years and higher), employees earn an average total compensation of ₹1,100,000.ntify and mitigate network vulnerabilities

Higher earnings are possible, however, salaries vary significantly – based on the industry, size of the business, and depending on the different skills you possess, it can affect your salary.

[Income figures are intended as a guide only.]

Final Thoughts

There is a huge income bubble that has made Data Science a lucrative career. The demand for data science is huge and employers are investing significant time and money in Data Scientists. As organizations are turning towards ML, big data, and AI, the market for data scientists is boosting. So taking the right steps to Being A Data Scientist will lead to exponential growth.

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