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Automations 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.

O*NET occupation: Data Scientists (15-2051.00). The software list and tasks below come from that record, not from guesswork.

Runs on software data scientists already use

Matched through the tools this occupation is documented as using.

Software data scientists use that we connect

What we can build for data scientists

The job’s documented tasks, most important first. Each is a request away.

  1. Analyze, manipulate, or process large sets of data using statistical software.Quote it
  2. Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.Quote it
  3. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.Quote it
  4. Clean and manipulate raw data using statistical software.Quote it
  5. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.Quote it
  6. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.Quote it

Something specific to how you work?

Describe the apps and the outcome. A fixed quote and a delivery date come back within one business day, and the build is yours to keep.

Request a build for data scientists