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Automation Risk Analysis

Will “Data Modeler” be Automated?

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AI Exposure Risk

43%

“Data Modeler” 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 Modeler” 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

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

  • 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.

  • 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.

  • 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.

  • 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.

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

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

  • 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.

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

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

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

Technologies & Software

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