Here’s a more detailed salary analysis for data scientists:
Experience: Experience is a significant factor that can influence the salary of a data scientist. A data scientist with 1-3 years of experience can expect to earn an average salary of around $89,000 per year. With 4-6 years of experience, the average salary increases to approximately $115,000 per year. A data scientist with 7-9 years of experience can earn an average salary of around $132,000 per year.
Location: The location of a data scientist can also have a significant impact on their salary. Data scientists working in cities with a high cost of living such as San Francisco, New York, and Boston can expect to earn higher salaries than those working in cities with a lower cost of living. According to Glassdoor, the average salary for a data scientist in San Francisco is $135,000 per year, while the average salary for a data scientist in Austin, Texas is $95,000 per year.
Industry: The industry in which a data scientist works can also impact their salary. Data scientists working in finance, healthcare, and technology tend to earn higher salaries than those working in other industries. According to Indeed, the average salary for a data scientist in the finance industry is $116,279 per year, while the average salary for a data scientist in the healthcare industry is $110,742 per year.
Company size: The size of the company can also impact the salary of a data scientist. Data scientists working for larger companies tend to earn higher salaries than those working for smaller companies. According to Glassdoor, the average salary for a data scientist at Google is $148,000 per year, while the average salary for a data scientist at a startup with fewer than 50 employees is $96,000 per year.
Skills: The skills a data scientist possesses can also have an impact on their salary. Data scientists with skills in machine learning, artificial intelligence, and deep learning tend to earn higher salaries than those without those skills. According to PayScale, the average salary for a data scientist with skills in machine learning is $107,000 per year, while the average salary for a data scientist with skills in deep learning is $120,000 per year.
Overall, the salary of a data scientist can vary depending on a variety of factors. However, the average salary for a data scientist in the United States is around $113,000 per year, according to Glassdoor.
Here’s a country-wise breakdown of data scientist salaries:
United States: The average salary for a data scientist in the United States is around $113,000 per year, according to Glassdoor. However, salaries can vary depending on factors such as experience, location, and industry. For example, the average salary for a data scientist in San Francisco is $135,000 per year, while the average salary for a data scientist in Austin, Texas is $95,000 per year.
Canada: The average salary for a data scientist in Canada is around CAD 85,000 per year, according to Glassdoor. Salaries can vary depending on factors such as experience, location, and industry. For example, the average salary for a data scientist in Toronto is CAD 94,000 per year, while the average salary for a data scientist in Vancouver is CAD 77,000 per year.
India: The average salary for a data scientist in India is around INR 700,000 per year, according to Glassdoor. Salaries can vary depending on factors such as experience, location, and industry. For example, the average salary for a data scientist in Bangalore is around INR 1,100,000 per year, while the average salary for a data scientist in Mumbai is around INR 900,000 per year.
It’s important to note that these are averages and individual salaries can vary significantly based on the aforementioned factors.