41
/100

SOC 15-2041

Statisticians

ElevatedFrey/Osborne: 22.0%

Risk Score

โš ๏ธ

41/100

Elevated

US Employment

๐Ÿ‘ฅ

29,800

Total workers

Median Wage

๐Ÿ’ฐ

$103K

$60K โ€“ $171K

Projected Growth

๐Ÿ“ˆ

+8.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

86/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Statisticians face a risk score of 41/100 โ€” 3 points below the national average of 44. With 86/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $103K ($57K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 41/100, Statisticians faces moderate automation pressure. While tasks like ai summarization replacing manual report compilation are increasingly handled by AI, the role retains significant human elements. The 29,800 workers in this occupation should focus on strengthening skills in architecting novel systems requiring creative problem-solving and cross-functional collaboration on ambiguous problems to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Statisticians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI summarization replacing manual report compilation

2

AI-generated written content replacing manual drafting

3

Machine learning model auto-tuning displacing ML engineers

4

Chatbot displacement of customer-facing interactions

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Architecting novel systems requiring creative problem-solving

โœ“

Cross-functional collaboration on ambiguous problems

โœ“

Stakeholder negotiation and requirements elicitation

โœ“

Ethical AI oversight and bias auditing

๐Ÿ“Š 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.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Analyze and interpret statistical data to identify significant differences in relationships among sources of information.

โ€ข

Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.

โ€ข

Report results of statistical analyses, including information in the form of graphs, charts, and tables.

โ€ข

Determine whether statistical methods are appropriate, based on user needs or research questions of interest.

โ€ข

Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Data mining software

โ€ข

Data base management system software

โ€ข

Business intelligence and data analysis software

โ€ข

Analytical or scientific software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Computers and Electronics

โ€ข

English Language

โ€ข

Medicine and Dentistry

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$103K
+$57K

National avg: $46K

Risk Score41/100
-3

National avg: 44/100

GenAI Exposure86/100
+48

National avg: 38/100

Projected Growth8.5%
+4.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K55%
Mathematicians24$122K79%
Computer Occupations26$106K75%