Data Scientist

The Data Scientist will design and implement advanced statistical and AI/ML solutions focused on extracting actionable insights, evaluating model performance, and leveraging semantic analysis techniques to enhance product safety decision-making.

This role emphasizes data quality, performance, and interoperability in modern cloud environments, enabling CPSC's strategic acceleration toward preventative analytics for product safety. The Data Scientist: Designs and deploys advanced statistical solutions to generate actionable insights that strengthen product-safety decisions.

Applies semantic analysis to extract patterns from diverse data and communicates findings through clear visualizations and narratives. Develops algorithms, modeling standards, and team processes; reviews technical work to ensure quality and consistency.

Prepares and transforms structured and unstructured data; applies statistical, ML, and NLP methods to support agency analytics. Builds and maintains modern data science applications, pipelines, dashboards, and tools for CPSC-wide use.

Ensures model and application quality, including accuracy, transparency, equity, and performance; clearly communicates limitations. Produces reports and presentations; engages stakeholders and translates complex analysis for technical and non-technical audiences.

Maintains cutting-edge knowledge of data science practices and represents the agency in professional and government data-science forums.

In addition to the mandatory education requirement, all applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level in the Federal Service.

Specialized experience is experience that has equipped the candidate with the particular knowledge, skills, and abilities to perform successfully the duties of the position.

Qualifying specialized experience must demonstrate the following: GS-12: 1) Experience developing statistical, AI/ML, and NLP models to analyze complex structured and unstructured data; 2) Building cloud-based data pipelines and using Python/SQL to create and evaluate analytical products; and 3) Producing dashboards and visualizations and communicating data-driven insights to diverse stakeholders.

GS-13: 1) Experience applying advanced statistical, mathematical, and scientific methods to design, develop, and evaluate analytical and predictive models using complex, large-scale datasets; 2) Experience developing and implementing advanced statistical methodologies, AI/ML, NLP, and cloud-based analytical solutions to address complex, high-impact data problems; 3) Performing data acquisition, transformation, and integration using modern ETL/ELT, data modeling, and workflow orchestration practices in cloud environments; 4) Designing data visualizations, dashboards, and data storytelling products that communicate complex analytical findings clearly to diverse audiences, including uncertainty and method limitations; and 5) Programming in Python and SQL and applying industry-standard ML and analytical libraries to develop production-ready analytical solutions.

Evidence of the above specialized experience must be supported by detailed documentation of duties performed in positions held. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience.

We will not make assumptions regarding your experience or based on job titles alone. If your resume does not support your questionnaire answers, we will not allow credit for your response(s).

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.

Applicants must meet the qualifications for this position by the closing date of this announcement.