What do data scientists do?
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.
This describes a U.S. occupation, not a live vacancy. Individual employers may use different titles and requirements.
Core tasks to compare with a job posting
- Analyze, manipulate, or process large sets of data using statistical software.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Recommend data-driven solutions to key stakeholders.
- Identify business problems or management objectives that can be addressed through data analysis.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Clean and manipulate raw data using statistical software.
- Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
Prepare an application for this occupation
- Check the employer’s requirements, location, schedule and any licenses against your situation.
- Choose two or three tasks above that match the posting and your actual experience.
- Build a resume evidence worksheet using the skills and software relevant to that employer.
- Practice explaining your contribution, decisions and results before an interview.
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