Data Scientist

If selected for this position as a Data Scientist, GS-1560-11/12/13 your duties may include, but are not limited to the following: Designing and implementing strategies, methodologies, and tools to collect data that is relevant, accurate, and representative of the target population or phenomenon of interest.

Preparing the data and ensuring its suitability for the intended use (e.g., storage, analysis, or modeling) by cleaning, wrangling, and formatting the data. Organizing, storing, and maintaining data in a way that optimizes access patterns, security, and accommodates different data types and characteristics.

Using computational/statistical techniques for analyzing data. This includes applying the algorithms and methods that underlie artificial intelligence (AI), data mining, machine learning, and statistical inference to gain knowledge or insights, build classifiers and predictors, or infer causality.

Representing data and information visually through graphical or interactive means such as charts, graphs, maps, or dashboards. Explaining what the visualized data means considering context, point, implications, and possible ramifications.

Developing, implementing, or leading data science initiatives, programs, or strategies while ensuring compliance, managing teams/resources, evaluating proposals, and maintaining reproducible work procedures.

Developing, implementing, modifying, or providing recommendations on data visualization, healthcare AI, and other data science tools (e.g., machine learning).

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.

Additional Requirements (GS-13): In addition, in order to qualify for this position at the GS-13 level, you must have at least one year of specialized experience at or equivalent to the GS-12 level in the Federal service, obtained in either the private or public sector performing the following types of tasks: Enhancing data collection, preprocessing, and analysis activities by implementing/adapting programming language codes (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; Adapting and implementing machine learning and Artificial Intelligence techniques (e.g., NLP, Deep Learning, Reinforcement Learning) to extract insights from unstructured data; Explaining findings using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau); and, Explaining data science concepts to stakeholders (e.g., researchers, leadership) to build consensus in planning data initiatives (e.g., data collection, preprocessing, analysis, reporting).

You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.

Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.

To determine your qualifications and referral status, we may review your resume and supporting documentation and compare it against your responses to the vacancy questionnaire. Ensure you support your self-ratings with the information you provide in your application. We may verify or assess your qualifications at any time.

Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as knowing your past accomplishments or experience in your application may be contacted for verification purposes at any time.

Verification may, but need not, begin before receiving an offer. Preview application questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/13072100