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Ultimate guide on how to start your career in data science

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how to start your career in data science

Introduction

If you’re wondering how to start your career in data science, you’re not alone. It’s easy to see why data science is a cutting-edge field that allows you to make an important impact, both 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. So, let’s begin our journey on how to start your career in data science.

Scope

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.

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.

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

The e-commerce industry is booming just because of data scientists who analyze the data and create customized recommendation lists for providing great results to end-users.

With that said, let’s get familiar with the highest paying Data Science Jobs in the data science field!

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:

Having said that, now let’s find out why a Data Science Career is crucial.

Study

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:

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.

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

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.

Not 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.

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.

Get Hired

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

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.

Required Education Qualification, Training and Work Experience

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

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 & Certifications For Data Scientist In 2021

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.
  • In their late career (20 years and higher), employees earn an average total compensation of ₹1,100,000.

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.]

Conclusion

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.

Are you planning to apply for the Role Of data scientist? Well, if you still have doubts regarding the Best Way To Become A Data Scientist, Start with a FREE ONLINE CAREER COUNSELLING.

The team of Counsellors and Mentors at MyCareerBuddha can help you choose a career path by building a proper career action plan that’s well suited for you to reach your goals.

Hope that this blog post has helped you learn the key insights needed to become a Certified Data Scientist. Good Luck in your Job Efforts!

FAQs

Q1: What is the future scenario of data science?

A1: The future of data science is promising with expanding opportunities in various industries.

Q2: What are the highest paid data science jobs in India?

A2: Data Scientists, Machine Learning Engineers, and Data Architects are among the highest paid data science jobs in India.

Q3: Why should one study data science?

A3: Studying data science opens up opportunities in a rapidly growing field with high demand for skilled professionals.

Q4: How can one get hired as a data scientist?

A4: Strong foundational knowledge in data science, proficiency in relevant tools and languages, and practical experience through projects or internships can increase the chances of getting hired as a data scientist.

Q5: What are the challenges in starting a career in data science?

A5: Understanding the diverse career paths, acquiring the necessary skills, and gaining practical experience are some challenges when starting a career in data science.

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