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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

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

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

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

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

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

  • Clean and manipulate raw data using statistical software.

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

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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

Technologies & Software

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