AI Assistant for Data Scientists

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.

Considerable Preparation Needed

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Core Responsibilities

  • 1Analyze, manipulate, or process large sets of data using statistical software.
  • 2Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • 3Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • 4Clean and manipulate raw data using statistical software.
  • 5Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • 6Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  • 7Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • 8Design surveys, opinion polls, or other instruments to collect data.
  • 9Identify business problems or management objectives that can be addressed through data analysis.
  • 10Identify relationships and trends or any factors that could affect the results of research.

Technology & Tools Used

In-Demand Technologies

Alteryx softwareAmazon Elastic Compute Cloud EC2Amazon RedshiftAmazon Web Services AWS softwareApache AirflowApache CassandraApache HadoopApache HiveApache KafkaApache SparkAtlassian Confluence

Other Tools

Amazon Simple Storage Service S3Amazon Web Services AWS SageMakerApache MXNetApache Pig

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