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Automation Risk Analysis

Will “Data Specialist” be Automated?

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AI Exposure Risk

43%

“Data Specialist” 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 Specialist” 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

  • 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.

  • 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.

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

  • 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.

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

  • Clean and manipulate raw data using statistical software.

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

  • 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.

  • 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.

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

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

Technologies & Software

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