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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

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

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

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

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

  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.

  • 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.

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

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

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

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

  • 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.

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

  • Recommend data-driven solutions to key stakeholders.

  • Clean and manipulate raw data using statistical software.

Technologies & Software

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