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Data Scientist - Salary
As digitalization has spread around the world, data science has become one of the best-paying jobs in the world. In India, data scientists make between 1.8 Lakhs and 1 Crore a year, depending on their qualifications, skills, and experience.
Top Factors that decide Data Scientist Salaries
There are a few things that affect the salary of a data scientist. Of course, what matters most is your experience, but a data scientist's salary in India is also based on their skills, job roles, the company they work for, and where they live.
Salary Based on Skills
The data science salary in India is also based on how skilled you are in the pitch. The more skills you have in your field, the more likely you are to get a higher salary. Even the starting salary for a data scientist in India is higher for people with different IT skills. Recruiters will notice you more if your resume stands out. You might be able to get a higher salary if you have skills like Machine Learning, Python, Statistical Analysis, and Big Data Analytics.
Salary Based on the Experience
When it comes to data science jobs salaries in India, experience is a main factor. PayScale says that the average salary for a new data scientist in India with less than one year of experience is about 5,77,893. The average salary for someone with 1–4 years of experience is 8,09,952. With 5–9 years of experience, a data scientist in the middle of their career could make up to 14,48,144 per year. And in India, a person with 1–19 years of experience in the pitch can make an average of 19,44,566 per year.
Salary Based on Location
Location is another factor that affects how much you get paid for a data science job in India. There are a lot of big cities in India that hire data scientists, but the packages vary from city to city.
Salary Based on Companies
Many companies hire data scientists on a regular basis, but most of the time, they have different jobs or roles. If you work for one of these companies, your salary will depend on what job you get. Other companies in India also pay their data scientists different salaries each year. Before you accept a job offer, you can always find out how much a data scientist in India makes per month or per year at other companies.
Data Scientist Salary in India
Given below is the table that shows the average salary of different data science profiles in India −
| S.No | Job Title | Average Annual Base Salary in India |
|---|---|---|
| 1 | Data Scientist |
₹ 10.0 LPA |
| 2 | Data Architect |
₹ 24.7 LPA |
3 | Data Engineer |
₹ 8.0 LPA |
| 4 | Data Analyst | ₹ 4.2 LPA |
| 5 | Database Administrator |
₹ 10.0 LPA |
| 6 | Machine Learning Engineer |
₹ 6.5 LPA |
The data in the table above is taken from Ambition Box.
Data Scientist Salary in USA
Given below is the table that shows the average salary of different data science profiles in USA −
| S.No | Job Title | Average Annual Base Salary in USA |
|---|---|---|
| 1 | Data Scientist |
$123,829 |
| 2 | Data Architect | $1,28,205 |
| 3 | Data Engineer |
$126,443 |
4 | Data Analyst | $71,047 |
| 5 | Database Administrator |
$90,078 |
| 6 | Machine Learning Engineer |
$146,799 |
The data in the table above is taken from Indeed.
The United States of America pays the highest data scientist salaries on average, followed by Australia, Canada, and Germany.
According to Payscale, an entry-level Data Scientist with less than 1-year experience can expect to earn an average total compensation (includes tips, bonus, and overtime pay) of ₹589,126 based on 498 salaries. An early career Data Scientist with 1-4 years of experience earns an average total compensation of ₹830,781 based on 2,250 salaries. A mid-career Data Scientist with 5-9 years of experience earns an average total compensation of ₹1,477,290 based on 879 salaries. An experienced Data Scientist with 10-19 years of experience earns an average total compensation of ₹1,924,803 based on 218 salaries. In their late career (20 years and higher), employees earn an average total compensation of ₹1,350,000.
In recent years, improvements in technology have made Data Science more important in many different fields of work. Data Science is used for more than just collecting and analyzing data. It is now a multidisciplinary field with many different roles. With high salaries and guaranteed career growth, more and more people are getting into the field of data science every day.
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