Data Scientist, 1560-CG-12/13/14

OR

B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

In addition to meeting the Basic Requirement above, applicants must also meet the minimum qualifications listed below to be considered:

CG-12 - To qualify at this level, Applicant must have completed at least one year of specialized experience equivalent to at least the CG/GS-11 level or above in the Federal service. Specialized experience is defined as experience conducting economic, statistical, or machine-learning analyses by writing code in Python or R; and conducting economic, statistical, or machine-learning analyses using either unstructured data or Linux-based high-performance computing clusters or cloud platforms (e.g. AWS, Azure, Databricks, etc.).

CG-13 - To qualify at this level, Applicant must have completed at least one year of specialized experience equivalent to at least the CG/GS 12 level or above in the Federal service. Specialized experience is defined as experience writing code in either Python or R to conduct machine learning analyses including using at least one of the following: neural networks, random forest, boosting, K nearest neighbors, support vector machines, K-means clustering, and Natural Language Processing.

CG-14 - To qualify at this level, Applicant must have completed at least one year of specialized experience equivalent to at least the CG/GS-13 level or above in the Federal service. Specialized experience is defined as experience in writing code in Python or R to conduct analyses using machine learning algorithms including at least one of the following: neural networks, random forest, boosting, Naïve Bayes, K nearest neighbors, support vector machines, or K-means clustering and either performing Natural Language Processing using at least one of the following: transformer models (e.g. BERT) or local large language models; or conducting analyses using Linux-based high-performance computing clusters or cloud platforms (e.g. AWS, Azure, Databricks, etc.).