Machine Learning Engineer and Data Scientist are two of the Hottest Jobs in the Industry right now and for good reason. With 2.5 Quintillion bytes of data being generated every day, a professional who can organize this humongous data to provide business solutions is indeed the hero! The competition between Machine Learning Engineer vs Data Scientist is increasing and the line between them
According to the U.S. Bureau of Labor Statistics (BLS), the median salary for data scientists was $103,500 per year as of 2022 [ 2 ]. That's more than double the median annual wage for all workers, which the BLS pinned at $46,310 during the same period. Other salary aggregation sites, however, note different average and median pay for data
Though, The average data scientists salary is ₹698,412. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum. A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India.
A highly experienced software engineer earns $178,000 on average, while a data scientist with comparable experience and skills earns $155,000. (Source: Robert Half's Salary Guide .) Related Read: What Do Software Engineers Earn? and What Do Data Scientists Make?
avcontentteam — Updated On November 23rd, 2023 In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer!
Data Analysts make $69,467 per year on average. Depending on your skills, experience, and location, you can earn anywhere between $46,000 and $106,000 per year. The national average salary for a data engineer, on the other hand, is $112,288 a year. Depending on their skills, experience, and location, a data engineer can earn anywhere between
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