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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

  • Clean and manipulate raw data using statistical software.

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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

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

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

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

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

  • 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.

Technologies & Software

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