Data scientists transform raw data into meaningful insights using statistical software, machine learning, and visualization. They clean and manipulate large datasets, apply sampling techniques, and develop models to predict outcomes like sales or healthcare use.
The risk spectrum — where Data Scientist sits
0 · Low
25
50
75 · Critical
Low
Routine work stays manual.
Medium
Some tasks are automated; the role reshapes.
High
Core tasks are exposed; skills must shift.
Critical
Tasks are pattern-matching. Act now.
Data Scientist · 47/100 · Medium
Data Scientist vs the 82 other jobs
Risk rank51 / 83
Automation timeline5-10 years
Median salary$120,230
Projected growth+33.5% (2024–34)
01 / Job market
Official outlook: still growing.
Within the 83 professions
Salary$120,230
$31k$171k
Growth+33.5% (2024–34)
-25.9%33.5%
The U.S. Bureau of Labor Statistics projects a +33.5% change in employment for this occupation between 2024 and 2034, from a current base of 262,440 people employed earning a median of $120,230 a year.
Source: BLS Employment Projections 2024–34 & OEWS May 2025.
Data Scientists are rated medium risk. Automated tools may handle routine data processing within 5-10 years, while the role shifts toward critical evaluation and stakeholder communication. Projected growth of +33.5% (2024–34) suggests demand continues.
02How soon could automation affect Data Scientists?
Automation may affect Data Scientists within 5-10 years. Routine data processing and initial model building become automated first. The occupation is medium risk and employs 262440 people.
03What skills keep Data Scientists relevant?
Explainable AI and model interpretability techniques, plus data narrative development for non-technical audiences, are rated high demand. Human oversight of automated machine learning pipelines is medium demand. Designing experiments and validating model performance against business realities also matter.
04What preparation is needed to become a Data Scientist?
Most positions expect a four-year bachelor's degree, though not universally. Critical Thinking, Reading Comprehension, and Active Listening are rated high-demand for entry. Familiarity with tools like SAS and Apache Hadoop is typical.
05What related roles could Data Scientists pivot to?
Adjacent titles include Machine Learning Scientist, Research Scientist, and Applied Scientist. Alternative occupations are Natural Sciences Managers, Marketing Managers, and Management Analysts.
06Is Data Science a good career to start in 2026?
Starting in 2026, Data Science offers annual earnings of 120230. The occupation projects growth of +33.5% (2024–34) and currently employs 262440. Automation risk is medium, with changes expected within 5-10 years.
07What tasks or tools define a Data Scientist's work?
Typical tasks include maintaining a library of model documents, reviewing technical design documentation, and monitoring customers using business intelligence tools. Common tools are Amazon Web Services AWS software, C, C++, SAS, and Apache Hadoop.