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Data Scientist Salary Insights: Earnings and Influencing Factors

Data science is a high-paying profession, with salaries in India ranging from ₹1.8 Lakhs to ₹1 Crore annually. Discover the key factors that impact a data scientist's salary, including experience, skills, job roles, company, and location.



Data Scientist - Salary

As digitalization continues to expand globally, data science has emerged as one of the highest-paying professions. In India, data scientists can earn anywhere from ₹1.8 Lakhs to ₹1 Crore annually, depending on their qualifications, skills, and experience.

Top Factors That Influence Data Scientist Salaries

Several factors influence a data scientist's salary. While experience is the most critical factor, other elements such as skills, job roles, the company, and location also play significant roles in determining the salary of a data scientist in India.

Salary Based on Skills

The salary of a data scientist in India also depends on their skill set. The more diverse your skills in the field, the higher the likelihood of earning a better salary. Even entry-level data scientists with multiple IT skills can command higher starting salaries. Skills such as Machine Learning, Python, Statistical Analysis, and Big Data Analytics can make your resume stand out to recruiters and potentially lead to higher compensation.

Salary Based on Experience

Experience plays a significant role in determining data science job salaries in India. According to PayScale, the average salary for an entry-level data scientist in India with less than one year of experience is around ₹5,77,893 per year. Data scientists with 1-4 years of experience earn an average of ₹8,09,952 annually. Mid-career data scientists with 5-9 years of experience can earn up to ₹14,48,144 per year. Those with 10-19 years of experience can earn an average of ₹19,44,566 annually in India.

Salary Based on Location

Location is another crucial factor influencing data scientist salaries in India. While many major cities in India hire data scientists, salary packages can vary significantly from one city to another.

Salary Based on Companies

Numerous companies regularly hire data scientists, often for different roles or positions. The salary you receive will depend on your job role within the company. Additionally, different companies in India offer varying salaries for data scientist positions. It's advisable to research average data scientist salaries in India across different companies before accepting a job offer.

Data Scientist Salary in India

Below is a table showing 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 sourced from Ambition Box.

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Data Scientist Salary in the USA

Below is a table showing the average salary of different data science profiles in the USA:

S.No Job Title Average Annual Base Salary in USA
1 Data Scientist $123,829
2 Data Architect $128,205
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 sourced from Indeed.

The United States offers the highest average salaries for data scientists, followed by Australia, Canada, and Germany. According to PayScale, an entry-level data scientist with less than one year of experience in India can expect an average total compensation of ₹5,89,126, including tips, bonuses, and overtime. A data scientist with 1-4 years of experience earns around ₹8,30,781, while a mid-career data scientist with 5-9 years of experience earns approximately ₹14,77,290. Those with 10-19 years of experience earn an average of ₹19,24,803. For those in their late careers (20+ years), the average total compensation is ₹13,50,000.

Recent advancements in technology have significantly increased the importance of data science across various industries. Data science is no longer just about collecting and analyzing data; it has evolved into a multidisciplinary field with numerous specialized roles. With lucrative salaries and promising career growth, the field of data science continues to attract more professionals every day.