Data Scientist (2079HY V1) Hybrid

Anonymous

Registered 2023

Puerto Rico (OA)

Documents

Individual state requirements may vary. Please contact your local apprenticeship office to ensure this version is suitable to your state’s requirements.

Work Process Schedule

Work Process Content

On the Job Training

Anonymous

Skills

2.3K

OJT hours

Advise others on analytical techniques.

150

Recommend data-driven solutions to key stakeholders.

Analyze business or financial data.

150

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

Analyze data to identify or resolve operational problems.

170

Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.

Analyze data to identify trends or relationships among variables.

150

Identify relationships and trends or any factors that could affect the results of research.

Analyze data to inform operational decisions or activities.

170

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

Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.

170

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

Determine appropriate methods for data analysis.

110

Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.

Develop procedures to evaluate organizational activities.

150

Design surveys, opinion polls, or other instruments to collect data.

Develop scientific or mathematical models.

150

Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.

Prepare analytical reports.

180

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

Prepare data for analysis.

130

Clean and manipulate raw data using statistical software.

Prepare graphics or other visual representations of information.

170

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

Present research results to others.

110

Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.

Select resources needed to accomplish tasks.

110

Identify business problems or management objectives that can be addressed through data analysis.

Update technical knowledge.

110

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

Write computer programming code.

150

Write new functions or applications in programming languages to conduct analyses.

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