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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

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

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

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

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

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

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

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

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

  • Clean and manipulate raw data using statistical software.

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

Technologies & Software

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