Data Scientist
A professional role that uses statistics, machine learning and programming to extract insights from data. Data scientists are widely employed across industries such as technology, finance and healthcare.
Timeline (last 90 days)
The ten-year net increase is 95,400 data scientist positions, about 9,500 per year on average; the remaining roughly 15,000 annual openings come from replacement demand, and net growth explains only about 38% of annual openings.
BLS projects a median salary of $120,230 for data scientists in May 2025, with about 24,800 job openings expected each year; over the same period, total U.S. employment grows 3.5%, and computer and mathematical occupations grow 7.3%.
The U.S. Bureau of Labor Statistics (BLS) projects that data scientist employment will grow 35% from 2025 to 2035, increasing from 275,600 positions to 371,000.
Professions such as social media manager, data scientist, and prompt engineer did not exist twenty years ago and are new occupations created by technological development.
Data scientists focus on extracting insights from data and supporting business decisions, while ML engineers focus on building, optimizing, and deploying machine learning systems, with significant differences in their career paths and day-to-day work.
A 2012 Harvard Business Review article called data scientists the sexiest profession of the 21st century.
LinkedIn has listed data scientist as one of the most in-demand positions for multiple consecutive years.
A data science practitioner with nearly ten years of experience posted on Reddit stating that they never do any data science work as a data scientist and have never built a model in a formal job.
The dual-track system in the data science field is far from mature, and many companies lack clear technical advancement channels at the level of 'Chief Data Scientist' or 'Data Science Fellow.'
According to LinkedIn data, job postings with the title 'data scientist' grew by approximately 650% between 2012 and 2022.
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All Facts (12)
The ten-year net increase is 95,400 data scientist positions, about 9,500 per year on average; the remaining roughly 15,000 annual openings come from replacement demand, and net growth explains only about 38% of annual openings.
50%UnverifiedBLS projects a median salary of $120,230 for data scientists in May 2025, with about 24,800 job openings expected each year; over the same period, total U.S. employment grows 3.5%, and computer and mathematical occupations grow 7.3%.
50%UnverifiedProfessions such as social media manager, data scientist, and prompt engineer did not exist twenty years ago and are new occupations created by technological development.
50%UnverifiedData scientists focus on extracting insights from data and supporting business decisions, while ML engineers focus on building, optimizing, and deploying machine learning systems, with significant differences in their career paths and day-to-day work.
50%UnverifiedA 2012 Harvard Business Review article called data scientists the sexiest profession of the 21st century.
50%UnverifiedLinkedIn has listed data scientist as one of the most in-demand positions for multiple consecutive years.
50%UnverifiedThe dual-track system in the data science field is far from mature, and many companies lack clear technical advancement channels at the level of 'Chief Data Scientist' or 'Data Science Fellow.'
50%UnverifiedAccording to LinkedIn data, job postings with the title 'data scientist' grew by approximately 650% between 2012 and 2022.
50%UnverifiedIn 2012, Harvard Business Review called data scientists 'the sexiest job of the 21st century.'
50%UnverifiedAccording to an industry survey by Burtch Works, the average tenure of data scientists is only 2–3 years, lower than that of traditional IT positions.
50%Unverified在大型企业中，数据分析链条通常被拆分为数据工程师、数据分析师、数据科学家、BI 工程师等多个专业角色
50%UnverifiedThe U.S. Bureau of Labor Statistics (BLS) projects that data scientist employment will grow 35% from 2025 to 2035, increasing from 275,600 positions to 371,000.
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