Data Science and Data Engineering Salaries Growing Faster Than Software Engineering, New Study by Interview Query

SAN FRANCISCO, April 19, 2022 (Newswire.com) - There's a reason why everyone wants to be in AI and data science. Data science salaries have increased by 25% over the past five years in a new study by Interview Query. 

Interview Query analyzed over 50,000 salary data points to understand how compensation has changed for data science and AI-related jobs. 

The data showed that data engineers and data analysts salaries increased by 35% over the past five years compared to a six percent increase by software engineers. But most data science roles are just playing catch-up. Data engineers and data scientists made on average around $140,000 in base pay in 2021 compared to $155,000 for software engineers. Machine learning engineers were still the highest-paying out of all data positions, averaging $175,000 in base salary in 2021.  

The highest-paying companies will, however, pay their data scientists over $500,000 a year. This includes companies like Netflix, StitchFix, Stripe, and Airbnb, where most of their compensation comes in stock options that peaked in 2021. 

And while San Francisco, Seattle, and New York City give out the highest salaries to data scientists, the best cities to live in for data science and engineering for the best return on salary are cities like Boise, Fayetteville-Springdale, Cincinnati, Memphis, Salt Lake City, Houston, and Austin. 

More interesting facts from the study:

• Netflix was the highest-paying company with an average of $300,000 in base salary and $500,000 in total compensation.
• On average, senior data scientists made more than data science managers.
• Boise is the best place to live on a data scientist salary normalized by cost of living and rent.

For questions about this release, please don't hesitate to get in touch with Jay at [email protected].

Contact:
Interview Query
Jay Feng
[email protected]

Interview Query is a data science training company specializing in helping candidates land jobs.

Source: Interview Query