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Automation Risk Analysis

Will “Machine Learning Scientist” be Automated?

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AI Exposure Risk

43%

“Machine Learning 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%

“Machine Learning 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

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

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

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

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

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

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

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

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

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

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

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

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

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

  • Clean and manipulate raw data using statistical software.

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

  • Recommend data-driven solutions to key stakeholders.

Technologies & Software

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