Develop or apply data mining and machine learning algorithms.
Biostatisticians4.2/5
43%ok
Develop or implement data analysis algorithms.
Mathematicians3.9/5
42%ok
Perform computations and apply methods of numerical analysis to data.
Mathematicians3.2/5
40%ok
Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.
Statisticians3.4/5
40%ok
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
Multiple Machine Tool Setters,3.9/5
38%ok
Compute data, such as gear dimensions or machine settings, applying knowledge of shop mathematics.
Mathematicians4.2/5
37%ok
Mentor others on mathematical techniques.
Management Analysts4.5/5
37%ok
Gather and organize information on problems or procedures.
Bioinformatics Scientists3.7/5
37%ok
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Neuropsychologists4.2/5
37%ok
Participate in educational programs, in-service training, or workshops to remain current in methods and techniques.
Source:
Course learning outcomes from
EWU's official Course Inventory Management (CIM) system.
O*NET task matches are computed by comparing each learning outcome
statement against every O*NET task statement using sentence-embedding
similarity; faculty review confirms which matches count as
preparation evidence.
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