The Supervisory Artificial Intelligence (AI) / Machine Learning (ML) Engineer serves as the agency's senior supervisory data scientist leading mission critical analytics to detect and mitigate consumer product hazards. This position is located in the Directorate for Epidemiology (EP), Office of Risk Reduction (EXRR) at the U.S. Consumer Product Safety Commission (CPSC).
This position is officially titled Supervisory Data Scientist (Artificial Intelligence). The working title is Supervisory AI/ML Engineer.
The Supervisory AI/ML Engineer is directly responsible for the end-to-end data science lifecycle from problem framing and experiments design through data curation, model development, validation, and interpretability, producing statistically rigorous insights that help to shape agency policy and enforcement prioritization and improves detection accuracy.
Work reflects expertise in statistical learning, algorithmic innovation, and causal inference, applying advanced methods to varied structured/unstructured sources at scale. The incumbent leads a team that builds AI agents that operationalize safety analytics using tools such as Microsoft Copilot Studio, Python agents, and retrieval pipelines to accelerate triage and decision flow.
Integrates agents with APIs, event streams, dashboards, and case management systems to reduce cycle time from signal to action and support proactive hazard detection. Serves as a technical expert on data science principles and concepts to construct data fusion products that merge data from multiple systems.
Maintains state of the art knowledge of AI/ML development through close contact with industry and other federal activities; participates in AI/ML working groups, communities of practice, and CPSC or governmentwide forums. The Supervisory AI/ML Engineer: Leads and defines the agency's data science research agenda for hazard detection and product risk modeling; establishes methodological standards, reproducibility protocols, and peer review processes.
Leads large-scale, analytically intensive data science program through advanced data science methodologies, statistical modeling, and applied ML. Helps to transform hazard detection processes by replacing manual systems with automated data-driven approaches capable of evaluating high-volume, high-velocity datasets. Leads the design and implementation of advanced technical solutions (e.g.
supervised / unsupervised, Natural Language Processing (NLP), deep learning, agent native and opensource generative pretrained transformers (GPTs), and multiagent orchestration) to extract actionable insights, rigorously evaluate model performance, and enhance product safety decision making.
The role emphasizes data quality, performance, and interoperability in modern cloud environments (Azure), enabling the Commission's strategic acceleration toward a proactive product safety operating model. Ensures strong cross functional collaboration to advance organizational priorities and deliver the CPSC mission.
Leads data storytelling that transforms complex data and model outputs into clear narratives, decision briefs, and visual analytics (dashboards, reports) for technical and nontechnical audiences; and surfaces foresights by identifying leading indicators, signals, and trends; perform scenario analysis and "what-if" simulations to anticipate emerging hazards and shorten time to intervention.
Communicates uncertainty, assumptions, and limitations to senior leaders and horizontal agency offices; connects insights to current internal and external policy, enforcement, and program impacts; and serves as a architect and implements end-to-end ML pipelines, including data ingestion, preprocessing, model training, evaluation, and deployment.
Implements model monitoring (drift, data/feature quality, bias, and business KPIs), alerting, and automated rollback to keep systems safe and responsive. Designs high quality data pipelines (ingest, transform, validate) across structured and unstructured sources; enforces data contracts, lineage, and documentation. Partners with analytics teams to make datasets discoverable and performant for iterative model development.
Mentors and guides junior AI/ML engineers through structured coaching, technical reviews, and career development support. Provides hands-on supervision in designing ML pipelines, coding best practices, and responsible AI principles. Fosters a learning culture by organizing knowledge-sharing sessions, pair programming, and code walkthroughs. Sets clear expectations, provides actionable feedback, and ensures alignment with agency standards for quality, security, and compliance.
Encourages innovation while maintaining rigor in documentation, reproducibility, and governance artifacts. Drives adoption and change management.
Mandatory Education Requirement. All applicants must meet one of the following requirements to qualify: A. A bachelor's or higher degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B.
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. There is no substitution for specialized experience at this grade level. You MUST provide transcripts to support your educational claims. Unofficial transcripts are acceptable during the application process. Official transcripts will be required upon appointment.
All materials must be submitted by the closing date of this announcement. All education claimed by applicants will be verified.
CPSC offers a comprehensive benefits package that includes: paid vacation, sick leave, 11 paid holidays per year, life and health insurance, Long Term Care insurance, dental and vision insurance, flexible spending account program, and retirement savings and investment plan similar to 401(k) (Thrift Savings Plan).
CPSC also offers a broad array of work-life flexibilities and services to employees such as, flexible work schedules, transit subsidies, fitness center, and employee assistance and wellness programs.
Full federal benefits details →
This position is with Consumer Product Safety Commission, Other Agencies and Independent Organizations.
The posted pay range is $169279 – $197200/yr.
This position is eligible for telework.
Applications close on 2026-10-30.
This position is open under the 'Fed Transition' hiring path.
Source: USAJOBS.gov — U.S. Federal Government · Retrieved 2026-10-19 · Not affiliated with or endorsed by OPM or USAJOBS.gov
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