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Automation Risk Analysis

Will “Statistical Consultant” be Automated?

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AI Exposure Risk

43%

“Statistical Consultant” will probably not 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 43% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

1%

“Statistical Consultant” will not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 1% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Data Scientists, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: 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.

Avg. Annual Salary $124,590
Avg. Hourly Wage $59.90
Available Jobs (US) 233,440
Job Title & Hierarchy Code (SOC) Data Scientists #15-2051
Wage vs. National Median
ℹ️

Data is based on the reference occupation: “Data Scientists”

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Core Skills & Abilities

  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

  • Analyze, manipulate, or process large sets of data using statistical software.

  • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.

  • Identify business problems or management objectives that can be addressed through data analysis.

  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.

  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.

  • Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.

  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.

  • Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.

  • Write new functions or applications in programming languages to conduct analyses.

  • Clean and manipulate raw data using statistical software.

  • Recommend data-driven solutions to key stakeholders.

  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.

  • Design surveys, opinion polls, or other instruments to collect data.

  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.

  • Identify relationships and trends or any factors that could affect the results of research.

Technologies & Software

  • Google Antigravity
  • Reporting software
  • JavaScript Object Notation JSON
  • OpenAI ChatGPT
  • Gemini Code Assist
  • SAS
  • Shiny
  • Amazon Web Services AWS software
  • Management information systems MIS
  • Apache Pig
  • Atlassian Confluence
  • RESTful API
  • Cursor AI
  • Apache Spark
  • Amazon Redshift
  • Tableau
  • pandas
  • Go
  • Julia
  • PyTorch
  • GitHub Copilot
  • Git
  • C++
  • Apache Hadoop
  • Splunk Enterprise
  • v0 by Vercel
  • XGBoost
  • Kubernetes
  • Apache Kafka
  • Apache Airflow
  • Google Looker Analytics
  • UNIX
  • JavaScript
  • Bolt.new
  • Snowflake
  • Bash
  • Codeium
  • NoSQL
  • Microsoft Power BI
  • Mathematical software
  • Microsoft Access
  • Elasticsearch
  • Jupyter software
  • BigQuery
  • GitHub
  • Shell script
  • Alteryx software
  • Linux
  • Google Cloud software
  • Apache Hive
  • Mistral AI (chat/models)
  • Statistical software
  • Tabnine
  • Qlik Tech QlikView
  • PySpark
  • C#
  • Flask
  • Amazon CodeWhisperer
  • Neo4j
  • Ruby
  • Oracle Java
  • MapReduce big data software
  • Mlflow
  • Amazon Simple Storage Service S3
  • SciPy
  • Apache Cassandra
  • Microsoft SQL Server
  • Atlassian JIRA
  • Kubeflow
  • Apache MXNet
  • C
  • Structured query language SQL
  • Microsoft Azure software
  • Scikit-learn
  • Microsoft PowerPoint
  • IBM SPSS Statistics
  • spaCy
  • Python
  • Lovable.dev
  • Amazon Web Services AWS SageMaker
  • R
  • Amazon Elastic Compute Cloud EC2
  • Perl
  • Devin (Cognition AI)
  • Scala
  • Docker
  • Perplexity AI
  • Teradata Database
  • Geographic information system GIS systems
  • Jenkins CI
  • TensorFlow
  • Microsoft Office software
  • Keras
  • NumPy
  • Claude (Anthropic)
  • Business intelligence software
  • Microsoft Excel
  • The MathWorks MATLAB
  • MongoDB
  • PostgreSQL
  • StataCorp Stata