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Automation Risk Analysis

Will “Quantitative Methodologist” be Automated?

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AI Exposure Risk

43%

“Quantitative Methodologist” 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%

“Quantitative Methodologist” 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.

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

  • 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.

  • 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.

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

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

  • Clean and manipulate raw data using statistical software.

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

Technologies & Software

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