As an Information Technology Specialist (Data Management), referred to here as Data Scientist, you will provide technical expertise to accomplish analysis of options and development of the design for advanced data systems, software, and complex programming specifications.
This job will close when 200 applications are received, which may be sooner than the closing date.
Subject Matter Experts will evaluate the first two pages of your resume based on the competencies below. You must have at least one year (52 weeks) demonstrating accomplishment of the duties and competencies. You must list the start and end dates (month and year) for all relevant experience.
Your qualifications will be evaluated on the following competencies. The first three (3) required competencies must be reflected in your resume. Additionally, you must have at lease one (1) of the latter three (3) competencies reflected in your resume.
Meet all Three (3) Required Competencies:
COMMUNICATIONS AND COLLABORATION: Translate complex concepts and findings into concise, plain language consistent with mission goals that can be easily understood by a wide audience. Collaborate using tools like GitHub in a reproducible and organized manner on urgent project work while being responsive to a variety of stakeholders and team members with varying technical skills.
DATA ANALYSIS: Conduct observational analyses using R or Python to explore data, test hypotheses, predict outcomes, and inform decisions. Derive meaning from structured, loosely structured, and unstructured data. Comfortable working with large datasets and numerous confounding variables.
DATA WRANGLING : Programmatically transform, combine, and clean data in preparation for analysis. Apply appropriate techniques for dealing with imperfect data such as probabilistic matching and imputation of missing values. Document data definitions and issues for future reference.
Meet at least One (1) of Three (3) Additional Competencies:
DATA VISUALIZATION: Use code-based data visualization tools (e.g., R, Python, D3) to implement graphics, charts, and complex data visualizations. Research and design visualizations tailored to specific audiences, including interactivity and narrative storytelling where appropriate.
DATA SOURCE MONITORING AND IMPROVEMENT: Ensure that data sources are fit for their intended purpose through assessment of current data quality, monitoring for incoming changes in data quality, and improvement of data quality. Recommend improvements to upstream processes to improve data quality.
DATA ENGINEERING AT SCALE: Design, develop, and operate systems for acquiring, ingesting, storing, and analyzing data at scale. Use data parallelization techniques or streaming technologies to process data. Monitor data flows and stored datasets to make improvements to data collection and ingestion mechanisms."
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/10901452
This job does not have an education qualification requirement.
Compensation: $86,335 to $133,465 per year
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