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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

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

  • 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.

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

  • 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.

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

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

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

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

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

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

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

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

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

Technologies & Software

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