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Automation Risk Analysis

Will “Applied Scientist” be Automated?

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AI Exposure Risk

43%

“Applied Scientist” 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%

“Applied Scientist” 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.

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

  • 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.

  • 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.

  • 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.

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

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

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

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

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

  • Clean and manipulate raw data using statistical software.

Technologies & Software

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