Standard Occupational Classification 2018Classification of Instructional Programs 2020
SOC 2018 15-2051 to CIP 2020
Crosswalk mapping from SOC 2018 15-2051 "Data Scientists" to CIP 2020. 35 official equivalences.
SOC 2018 15-2051 in CIP 2020
Each entry is an official equivalence edge. Click to see the full CIP 2020 definition, hierarchy, and its own crosswalks.
- 11.0102broadArtificial Intelligence
- 11.0103broadInformation Technology
- 11.0701broadComputer Science
- 11.0802broadData Modeling/Warehousing and Database Administration
- 11.0804broadModeling, Virtual Environments and Simulation
- 26.1103broadBioinformatics
- 26.1104broadComputational Biology
- 26.1199broadBiomathematics, Bioinformatics, and Computational Biology, Other
- 27.0101broadMathematics, General
- 27.0301broadApplied Mathematics, General
- 27.0303broadComputational Mathematics
- 27.0304broadComputational and Applied Mathematics
- 27.0305broadFinancial Mathematics
- 27.0306broadMathematical Biology
- 27.0399broadApplied Mathematics, Other
- 27.0501broadStatistics, General
- 27.0502broadMathematical Statistics and Probability
- 27.0503broadMathematics and Statistics
- 27.0601broadApplied Statistics, General
- 27.9999broadMathematics and Statistics, Other
- 30.0801broadMathematics and Computer Science
- 30.3001broadComputational Science
- 30.3901broadEconomics and Computer Science
- 30.4801broadLinguistics and Computer Science
- 30.7001broadData Science, General
- 30.7099broadData Science, Other
- 30.7101broadData Analytics, General
- 30.7102broadBusiness Analytics
- 30.7103broadData Visualization
- 30.7104broadFinancial Analytics
- 30.7199broadData Analytics, Other
- 40.0512broadCheminformatics/Chemistry Informatics
- 45.0603broadEconometrics and Quantitative Economics
- 52.1301broadManagement Science
- 52.1302broadBusiness Statistics
Reverse direction: CIP 2020 to SOC 2018
About SOC 2018 15-2051
15-2051 Data ScientistsDevelop 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.