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Automation Risk Analysis

Will “Research Analyst” be Automated?

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AI Exposure Risk

43%

“Research Analyst” 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%

“Research Analyst” 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

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

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

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

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

  • Clean and manipulate raw data using statistical software.

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

  • Recommend data-driven solutions to key stakeholders.

  • 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.

  • 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.

  • 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.

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

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

Technologies & Software

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