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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

  • 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.

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

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

  • 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.

  • Recommend data-driven solutions to key stakeholders.

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

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

  • Clean and manipulate raw data using statistical software.

  • 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.

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

Technologies & Software

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