USA remote
Data Scientist
About this role
Basic Requirements: To qualify for a Data Scientist, GS-1560 position, you must have a bachelor's degree, or graduate/higher level degree with a major study in mathematics, statistics, computer science, data science, or a field that is directly related to the position; OR, a combination of education (at least 30 semester hours) and additional appropriate/related experience that is the equivalent to a major in mathematics, statistics, computer science, data science or a field directly related to the position.
All education, unless completed outside of the U.S., must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the education was completed. Additional Requirements (GS-11): In addition, in order to qualify for this position at the GS-11 level, you must have: At least one year of specialized experience at or equivalent to the GS-09 level in the Federal service, obtained in either the private or public sector performing the following types of tasks: developing recommendations for the most efficient ways to collect quantitative information; creating data cleaning/wrangling scripts to transform data into a suitable format for analysis or storage; analyzing data with programming languages (e.g., R, Python) using statistical methods/techniques (e.g., Logistic Regression, ANOVA) to extract insights/findings; and summarizing data analysis results using data visualization tools to prepare presentations for internal stakeholders or team members; or, 3 years of progressively higher-level graduate education leading to a Ph.D.
degree or Ph.D. or equivalent doctoral degree in a related field; or, A combination of post baccalaureate education above the master's level in a related field, and experience that meets 100% of the qualification requirements for this position. Additional Requirements (GS-12): In addition, in order to qualify for this position at the GS-12 level, you must have at least one year of specialized experience at or equivalent to the GS-11 level in the Federal service, obtained in either the private or public sector performing the following types of tasks: Performing data collection, preprocessing, and analysis by applying programming languages (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; Implementing machine learning/AI tools (e.g., NLP, DP, RL) to extract insights from data; and, Summarizing data analysis results using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau) to prepare presentations for external stakeholders.