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Occupation

Data Scientists

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

n/a AI exposure
17 Human advantage
88 Market demand
n/a AI leverage

Is Data Scientists a safe career from AI?

We do not have an AI exposure figure for Data Scientists. The research this is drawn from does not score every occupation, and this is one it leaves out.

Its human advantage score is 17, which is low. Most of this role can be done through a screen, and that is the half of the labor market AI has reached first. Market demand scores 88 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 34.6% over ten years.

What Data Scientists pay

The median wage is $112,590 a year. The lower quarter earns under $82,630 and the upper quarter over $155,810. About 233,440 people do this work in the United States.

Where Data Scientists can go next

Occupations that share most of what this job already requires, ranked by how much carries over.

Data Warehousing Specialists 88% of the skills carry over $136k median
Statisticians 92% of the skills carry over $103k median
Biofuels/Biodiesel Technology and Product Development Managers 72% of the skills carry over $168k median
Computer Hardware Engineers 76% of the skills carry over $155k median

Thinking about moving out of Data Scientists?

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Where this comes from

Work content and transitions from O*NET, the US Department of Labor's occupational database. Wages and employment projections from the Bureau of Labor Statistics. AI exposure from published research measuring which occupations current AI capabilities overlap with. None of it is a forecast, and none of these numbers are ours: they are public data, put next to each other.

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