• Lead the development of evaluation frameworks for the autonomous system • Collaborate closely with Functional Safety and Systems Engineering teams • Ensure evaluation metrics are reliable enough to inform safety cases • Monitor the reliability of evaluation metrics and incoming performance data over time • Drive our approach to performance analysis using data-backed statistical methods • Develop new statistical analysis methods to analyze AV performance data • Partner with triage operators to turn raw disengagements into scenarios • Use fleet and evaluation data to identify edge cases in an automated manner • Build confidence in the evaluation framework through data-driven insights • Establish correlation between on-road and simulation data • Make sense of large datasets to drive insights • Establish a self-service model for developers • Develop new metrics, interpret trends, and investigate anomalies • Collaborate with developers to drive action based on these results • Serve as an advisor and influence collaborators across multiple teams • Mentor and collaborate with fellow engineers • Introduce the use of ML methods for performance evaluation

• Modelar, ajustar y evaluar modelos para predicción de retraso de salida. • Construir conjuntos de datos y características a partir de datos operacionales. • Apoyar el código de inferencia, monitorear calidad en vivo, investigar regresiones. • Construir y mantener herramientas internas para generación de conjuntos de datos.

Role Description We are seeking a Graph Data Scientist to develop advanced graph analytics supporting fraud investigations across complex federal programs. The successful candidate will leverage Neo4j, graph algorithms, and machine learning to identify hidden relationships, organized fraud rings, and emerging fraud patterns. Responsibilities - Shall have three (3) or more years of hands-on experience using Neo4j or a similar graph database and fluency in Cypher, or similar query language, to detect potential fraud using leading edge techniques and best practices. - Must have a deep understanding of network typology, centrality measures, community detection, and shortest path algorithms; using a multitude of public and nonpublic data sources. - Must have three (3) or more years of hands-on experience in statistical and machine learning foundations, clustering, classifiers and anomaly detection as applied to graph structured data. - Must have three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs. - Should have experience designing, implementing, and optimizing graph data pipelines, data models, and schemas that support large‑scale, high‑complexity networks, preferably within large federal benefit programs. - Should have strong Python skills using standard machine learning libraries are required. Qualifications - Minimum 3 years using Neo4j or similar graph database. - Minimum 3 years developing graph analytics for fraud detection. - Experience with Cypher query language. - Strong Python programming skills. - Experience with graph algorithms including: - Community Detection - Centrality Measures - Shortest Path - Link Analysis - Network Topology - Experience with machine learning applied to graph data. Benefits - 401(k) - Dental insurance - Health insurance - Paid time off - Vision insurance Company Description This is a remote position.

• Manages portfolio across multiple concurrent data center design projects. • Responsible for delivering revenues assigned. • Consistently delivers profit margins planned. • Monitor program performance including schedule, budget, staffing, and risk. • Utilize earned value management to assess work progress against the baseline. • Identify and resolve program-level constraints impacting delivery. • Ensure consistency of execution across multiple projects and clients. • Support Design Managers and Strategy Site Managers in maintaining successful delivery. • Participate in client meetings, presentations, and program reviews. • Lead change management process for internal and external changes. • Assist in managing client expectations and overall client experience. • Exchanges information on sensitive matters and works to build consensus across teams and departments. • Completes assigned work independently. • Travel as needed for project-related activities such as client meetings and site visits. • Apply for and obtain AECOM Project Manager certification within 1 year of start date.