How to Become a Data Scientist
How Much Do Data Scientists Make?
In 2020, Glassdoor reported the average base salary for a Data Scientist at $84,000 a year in Canada ($110,000 for a Senior Data Scientist), and over $113,000 in the U.S. ($134,000 for a Senior Data Scientist). Payscale, meanwhile, reports base salaries between $67,000 and $134,000 for Data Scientists, with $96,000 being the average, and between $93,000 and $161,000 for Senior Data Scientists, an average of $126,000.
Obviously, salary ranges can vary greatly depending on the region you’re in and your level of experience. But, that being said, Data Scientist salaries sit quite comfortably at the high end of the tech spectrum.
How Much do Data Professionals Make?
Northeastern University broke down salary expectations for a range of data science subfields, with Data Scientist ($140,000), Machine Learning Engineer ($115,000), Machine Learning Scientist ($114,000), Applications Architect ($114,000), and Enterprise Architect ($110,663) at the top of the list.
In certain industries, even junior Data Analysts are richly rewarded. According to a study by Springboard, people conducting data analysis in the natural resources and mining sector can expect salaries north of $100,000, while those working in the professional, scientific, technical services, finance and insurance sectors can all earn an average $90,000—even at a more junior level.
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Recommended Courses for Data Scientist
The Data Science Full-Time program is an intensive course designed to launch students' careers in data.
Taught by data professionals working in the industry, the part-time Data Science course is built on a project-based learning model, which allows students to use data analysis, modeling, Python programming, and more to solve real analytical problems.
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The Python Programming certificate course provides individuals with fundamental Python programming skills to effectively work with data.
The part-time Machine Learning course was designed to provide you with the machine learning frameworks to make data-driven decisions.