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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

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

  • Clean and manipulate raw data using statistical software.

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

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

  • 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.

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

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

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

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

Technologies & Software

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