How do they match: Data Scientists

  • Data Scientists

  • Data Science Director
  • Data Science Engineer
  • Data Science Manager
  • Data Science and Analytics Manager
  • Data Scientist
  • Data Analyst
  • Data Analytic Scientist
  • Data Analytics Scientist
  • Data Analytics Specialist
  • Data Architect
  • Data Consultant
  • Data Economist
  • Data Engineer
  • Data Management Scientist
  • Data Mining Analyst
  • Data Modeler
  • Data Quality Analyst
  • Data Specialist
  • Data Visualization Developer
  • Applied Scientist
  • Machine Learning Data Scientist
  • Machine Learning Scientist
  • Marketing Data Scientist
  • Research Scientist

  • 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.

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Clean and manipulate raw data using statistical software.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  • 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.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
  • 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.
  • Recommend data-driven solutions to key stakeholders.

  • Analyze data to identify or resolve operational problems.
  • Analyze data to identify trends or relationships among variables.
  • Analyze data to inform operational decisions or activities.
  • Analyze business or financial data.
  • Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
  • Determine appropriate methods for data analysis.
  • Develop scientific or mathematical models.
  • Prepare data for analysis.