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Automation Risk Analysis

Will “Data Consultant” be Automated?

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AI Exposure Risk

43%

“Data Consultant” 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 Consultant” 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

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

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

  • Clean and manipulate raw data using statistical software.

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

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

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

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

  • 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.

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

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

Technologies & Software

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