SOC 15-2051
Data Scientists
Risk Score
โ ๏ธ45/100
Elevated
US Employment
๐ฅ233,440
Total workers
Median Wage
๐ฐ$113K
$64K โ $194K
Projected Growth
๐+33.5%
2023-2033 (BLS)
GenAI Exposure
๐ค81/100
High exposure
๐ก Data Scientists face a risk score of 45/100 โ 1 points above the national average of 44. With 81/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ
๐ก Workers in this field earn $113K ($66K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ
๐ AI Impact Analysis
With a risk score of 45/100, Data Scientists faces moderate automation pressure. While tasks like low-code / no-code platforms reducing custom development are increasingly handled by AI, the role retains significant human elements. The 233,440 workers in this occupation should focus on strengthening skills in architecting novel systems requiring creative problem-solving and crisis debugging of complex production incidents to stay ahead. The role will likely evolve rather than disappear.
Will AI Replace Data Scientists?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ
โ ๏ธ Top Risk Factors
Low-code / no-code platforms reducing custom development
AI pair-programming and code generation tools
Machine learning model auto-tuning displacing ML engineers
Large language model automation of analysis tasks
๐ก๏ธ Tasks Safe from Automation
Architecting novel systems requiring creative problem-solving
Crisis debugging of complex production incidents
Mentoring junior developers and team leadership
Stakeholder negotiation and requirements elicitation
๐ Task Automation Breakdown
Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.
๐ O*NET Task Profile
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
Manage timely flow of business intelligence information to users.
Provide technical support for existing reports, dashboards, or other tools.
Identify and analyze industry or geographic trends with business strategy implications.
๐ป Technology Skills
Business intelligence and data analysis software
Data base user interface and query software
Storage networking software
Cloud-based management software
Procedure management software
๐ Key Knowledge Areas
Computers and Electronics
English Language
Mathematics
Customer and Personal Service
Administration and Management
๐ vs National Average
National avg: $46K
National avg: 44/100
National avg: 38/100
National avg: 3.7%
๐ Career Transition Paths
| Occupation | Risk | Wage | Overlap |
|---|---|---|---|
| Advertising, Marketing, Promotions, Public Relations, and Sales Managers | 16 | $145K | 63% |
| Mathematicians | 24 | $122K | 72% |
| Computer and Information Research Scientists | 30 | $141K | 75% |