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Automation Risk Analysis

Will “Data Analytics Specialist” be Automated?

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AI Exposure Risk

43%

“Data Analytics Specialist” 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%

“Data Analytics Specialist” 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

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

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

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

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

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

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

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

  • 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.

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

  • Recommend data-driven solutions to key stakeholders.

  • Clean and manipulate raw data using statistical software.

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

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

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

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

Technologies & Software

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