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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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

  • 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.

  • 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.

  • 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.

  • Clean and manipulate raw data using statistical software.

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

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

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

  • 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.

Technologies & Software

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