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Published Nov 5, 2021

SDS 520: The Highest-Paying Programming Languages for Data Scientists — with Jon Krohn

Explore the lucrative realm of programming languages for data scientists with Jon Krohn, as he reveals the top-earning languages based on O'Reilly's 2021 salary survey, including insights into how emerging languages like Julia are shaping future opportunities in web development and data science.
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  • Web Dev Languages

    Web development languages like JavaScript, HTML, and CSS play a significant role in the data science salary landscape. highlights that JavaScript, with an average salary of $146k, stands in the middle range, while HTML and CSS are closer to the lower end at $135k 1. These languages are essential for web applications, and understanding their salary implications can guide data scientists in choosing which skills to develop next.

    Likewise, if you're interested in web applications, JavaScript is where you may want to focus your energy, as it was middle of the pack right around the 146k average.

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    Jon also mentions the importance of exploring other tools and platforms like Pytorch and Tensorflow, which will be discussed in future episodes 1.

       

    Emerging Languages

    Emerging programming languages like Julia are gaining traction due to their efficiency in data processing and the salary advantages they offer. notes that Julia commands a higher average salary of $170k, surpassing more popular languages like Python and SQL 2. This is partly because Julia is less widely used, making those proficient in it more in demand.

    Julia is also relatively new, so knowing it may be a signal to prospective employers that you're still learning new tricks and you're staying up to date with recent data science languages.

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    Other newer functional programming languages like Rust, Go, Erlang, and Scala also offer high salaries, though they are used by a smaller percentage of data scientists 2.

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