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Automation Risk Analysis

Will “Sports Statistician” be Automated?

Historical Context: Oxford Study (2013)

Ranked #213 of 702. Estimated risk: 22.0%

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AI Exposure Risk

65%

“Sports Statistician” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 65% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

22%

“Sports Statistician” will almost certainly not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 22% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Statisticians, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

Avg. Annual Salary $112,330
Avg. Hourly Wage $54.01
Available Jobs (US) 29,800
Job Title & Hierarchy Code (SOC) Statisticians #15-2041
Wage vs. National Median
ℹ️

Data is based on the reference occupation: “Statisticians”

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Core Skills & Abilities

  • Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.

  • Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.

  • Develop software applications or programming for statistical modeling and graphic analysis.

  • Evaluate sources of information to determine any limitations, in terms of reliability or usability.

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

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

  • Prepare and structure data warehouses for storing data.

  • Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.

  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.

  • Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.

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

  • Develop and test experimental designs, sampling techniques, and analytical methods.

  • Identify relationships and trends in data, as well as any factors that could affect the results of research.

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

  • Supervise and provide instructions for workers collecting and tabulating data.

  • Process large amounts of data for statistical modeling and graphic analysis, using computers.

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

  • Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.

  • Report results of statistical analyses in peer-reviewed papers and technical manuals.

Technologies & Software

  • Minitab
  • R
  • IBM SPSS AnswerTree
  • Amazon Web Services AWS software
  • Codeium
  • GitHub Copilot
  • Formula translation/translator FORTRAN
  • SAS JMP
  • Cursor AI
  • Automatic Forecasting Systems Autobox
  • Sun Microsystems Java
  • Amazon Redshift
  • Extensible markup language XML
  • Insightful S-PLUS
  • Systat Software SigmaPlot
  • Grok (xAI)
  • Structured query language SQL
  • Gemini Code Assist
  • Apache Spark
  • SAP software
  • Microsoft Office software
  • Lovable.dev
  • Angoss KnowledgeSEEKER
  • Microsoft Word
  • Devin (Cognition AI)
  • RAT-STATS
  • Qlik Tech QlikView
  • Nova (Amazon)
  • Google Antigravity
  • Visual Numerics TS-WAVE
  • Systat Software SigmaStat
  • Gemini (Google)
  • XGobi
  • Scientific Software International SSI LISREL
  • v0 by Vercel
  • Qwen (Alibaba)
  • Camfit Data Limited Microfit
  • Microsoft Visual Basic for Applications VBA
  • IBM DB2
  • NCSS Power Analysis and Sample Size PASS
  • XLISP-STAT
  • StataCorp Stata
  • C++
  • DeepSeek
  • Tableau
  • Linux
  • IBM SPSS Statistics
  • Scientific Software International SSI Hierarchical Linear and Non-Linear Modeling HLM
  • NCR Teradata Warehouse Miner
  • Python
  • Aptech Systems GAUSS
  • SuperANOVA
  • The MathWorks MATLAB
  • Apache Pig
  • SAS/CONNECT
  • Statistical software
  • Llama (Meta)
  • Statistical Solutions BMDP
  • Microsoft Visual Basic
  • GraphPad Software GraphPad Prism
  • STATISTICA
  • Kimi (Moonshot AI)
  • Common business oriented language COBOL
  • Claude (Anthropic)
  • Perplexity AI
  • Cytel StatXact
  • Tabnine
  • UNISTAT Statistical Package
  • Microsoft Visual FoxPro
  • IBM SPSS Amos
  • SAP PowerBuilder
  • Microsoft PowerPoint
  • Microsoft SQL Server
  • StatPoint STATGRAPHICS Centurion
  • Quantitative Micro Software EViews
  • Mistral (Mistral AI)
  • Stat-Ease Design-Expert
  • Bolt.new
  • Muthen & Muthen Mplus
  • Microsoft Access
  • SAS Enterprise Miner
  • SAS
  • ChatGPT (OpenAI)
  • Teradata Database
  • UNIX
  • Mistral AI (chat/models)
  • Apache Hadoop
  • Econometric Software LIMDEP
  • DataDescription DataDesk
  • Microsoft Excel
  • Stat-Ease Design-Ease
  • Wolfram Research Mathematica
  • Amazon CodeWhisperer
  • Desktop computers
  • Personal computers
  • Laptop computers