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 CPSCs 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.

Must be a U.S. Citizen.

This is a Public Trust Position. Employment in this position requires a background investigation. If you are selected and cannot meet the criteria requirement for the pre-employment waiver and/or a favorable suitability determination within a reasonable period of time due to disclosed or undisclosed background issues the employment offer may be withdrawn.

If you are a male born after December 31 1959 you must certify that you have registered with the Selective Service System or are exempt from having to do so under the Selective Service Law. Please see for more information.

Selectees will be required to complete a Declaration of Federal Employment (OF-306) prior to appointment and the appropriate background investigation forms to determine suitability for Federal employment. False statements or responses on these forms can jeopardize your employment opportunity and subject you to disciplinary action including removal from Federal service.

The selectee will be required to complete a Personal Identity Verification (PIV) process that requires two forms of identification from the I-9 Form. We will compare information provided on the I-9 Form to records available from the U.S. Department of Homeland Security. The system confirms employees identity and eligibility to work in the United States. Learn more about E-Verify including your rights and responsibilities.

As a condition of employment for accepting this position you will be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public determining if your employment advances the public interest we may consider:

• your performance and conduct;
• the needs and interests of the CPSC;
• whether your continued employment would advance organizational goals of the CPSC or the Government; and
• whether your continued employment would advance the efficiency of the Federal service.

Upon completion of your probationary period your employment will be terminated unless you receive certification in writing that your continued employment advances the public interest.

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.