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Automation Risk Analysis

Will “Statistical Analyst” be Automated?

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AI Exposure Risk

43%

“Statistical 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%

“Statistical 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

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

  • 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.

  • 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.

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

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

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

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

  • 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.

  • Recommend data-driven solutions to key stakeholders.

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

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

  • 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.

Technologies & Software

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