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What is Data scientist? | Know the salary for Data scientist

Last updated on 28th Jan 2023, Artciles, Blog

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Pavni Krish (Senior QA Engineer )

Pavni Krish is a Senior QA Engineer in manual testing with 8+ years of experience, and she has skills in TestLodge, Zephyr, TestLink, Trello, Jira, Basecamp, Sauce Labs, and Browser Shots.

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    • In this article you will learn:
    • 1.What is a Data Scientist?
    • 2.Data Scientist Salary and Career Potential.
    • 3.Various Factors Affecting a Data Scientist Salary.
    • 4.Data Scientist Salary by Experience.
    • 5.Data Scientist Salary by Location.
    • 6.Shape a Data Science Career.
    • 7.Conclusion.

What is Data Scientist?

A “big data wrangler” is a data scientist who handles massive amounts of both structured and unstructured information. A data scientist’s expertise spans the disciplines of computing, statistics and mathematics. They take in data process it and model it so that businesses and other organisations can make informed decisions.Expert analysts known as “data scientists” can spot patterns and manage massive amounts of information by drawing on their training in both computer science and social science. To address business challenges they apply their expertise in the field, their awareness of the bigger picture and their healthy scepticism towards the status quo.Data scientists often have to deal with data that doesn’t lend itself to being stored in a database such as that generated by smart devices social media feeds and emails.

Data Scientist Salary and Career Potential:

In recent years the global emphasis has shifted increasingly towards data and new-age tech fields such as Artificial Intelligence, Machine Learning and Data Science have seen significant growth. The demand for and salary of data scientists is increasing dramatically. According to the Bureau of Labor Statistics (BLS) jobs for computer and information research scientists and data scientists will grow by 14% through 2028.

Data scientist

Different Factors Affecting a Data Scientist Salary:

1. Experience

2. Location

3. Skills

4. Company

Data Scientist Salary by Experience:

Experience is one of an essential factors in almost each profession however this stands can exceptionally accurate for a data scientist’s salary.

Entry-level Data Scientist Salary:

  • In most cases an entry-level data scientist is someone who has recently graduated from university or someone senior who has recently changed his domain and has no prior experience in a field.
  • Their primary focus is usually on learning and practising skills.
  • Companies that hire data science beginners or amateur data scientists provide them with company-based training and proper job preparation.
  • ZipRecruiter reports that the average starting salary for data scientists is $69k per year. On average a data scientist in the middle of their career can expect to make $91,000 per year.

Experienced Senior Data Scientist Salary:

  • A Senior data scientists are data pros who have dedicated lives to a data science profession and are one of the most critical and vital resources of a team and in turn their organization.
  • A senior data scientist salary is one that can should be aiming for because they earn most significant amounts of money out of all of their colleagues of a same profession.
  • According to the ZipRecruiter the median salary for experienced data scientist is $1628,000—while the median salary for experienced manager-level data scientist salary is be considerably higher at $184,000.

Data Scientist Salary by Location:

Data Scientist Salary in India:

There are numerous Data Scientists job openings in India providing opportunities for data science professionals to advance in their careers as well as data enthusiasts to start a career in this field. More than 50,000 data scientist jobs are available in India, according to Naukri one of the top Indian job-search websites.The average salary of a Data Scientist in India is 708,012 according to PayScale.

Data Scientist Salary in US:

According to the United States Bureau of Labor Statistics employment of all computer and information research scientists is expected to rise 19 percent by 2026 which is much faster than the average for all professions. Over the next decade 5,400 new jobs are expected. According to LinkedIn, there are currently over 20,000 data science job opportunities in the United States.According to PayScale the average salary for a Data Scientist in the United States is $96,106.

Data Scientist Salary in Australia:

According to the Glassdoor the average salary of Data Scientist in Australia is A$116K per year.

Data Scientist Salary in Canada:

According to the Indeed the average salary of Data Scientist in Canada is $80,394 per year.

Data Scientist Salary by Experience

Data Scientist Salary in Singapore:

According to the LinkedIn the average salary of Data Scientist in Singapore is SGD93,000 per year.

Data Scientist Salary in London:

According to the Glassdoor the average salary of Data Scientist in London is £50,585 per year.

Data Scientist Salary in Mexico:

According to the LinkedIn the average salary of Data Scientist in Mexico is MX$3,96,000 /yr.

Data Scientist Salary in Spain:

According to the Indeed the average salary of Data Scientist in Spain is €34,000 / per year.

Shape a Data Science Career:

  • Data is an omnipresent force ruling a lives now and will be for foreseeable future and data science jobs are booming like never before.
  • From a finance industry to the healthcare and education sector to a banking every sector is opening up doors for the data science professionals who can draw actionable insights from such a vast amounts of data.
  • Opportunities in a field are limitless and job roles in a Data Science promise plenty of possibilities and high-paying salaries.
  • Our Data Science Certification Course will help to accelerate the career and help you gain hands-on exposure to critical technologies including the R, SAS, Python, Tableau, Hadoop and Spark.
  • Enroll now to become data science expert and step into an exciting world of data.


Data science is a secret sauce for any company that wants to improve their business by becoming more data-driven. Data science projects can provide multiple returns on investment both in terms of data insight and data product development. Hiring people with this potent mix of diverse skills on the other hand is easier said than done. There simply aren’t enough data scientists in the market to meet demand (data scientist salary is a sky high). As a result when you do manage to hire a data scientist nurture them. Maintain their interest. Allow them the freedom to solve problems on their own terms. This prepares them to be highly motivated problem solvers in a company where they will face the most difficult analytical challenges.

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