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Automation Risk Analysis

Will “Data Management Scientist” be Automated?

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AI Exposure Risk

43%

“Data Management Scientist” 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 Management Scientist” 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 feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.

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

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

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

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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

  • 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.

  • 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.

  • 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.

  • Clean and manipulate raw data using statistical software.

Technologies & Software

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