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Automation Risk Analysis

Will “Data Economist” be Automated?

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AI Exposure Risk

43%

“Data Economist” 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%

“Data Economist” 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.

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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

  • Clean and manipulate raw data using statistical software.

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

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

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

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

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

Technologies & Software

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