• Manage the day-to-day construction activities simultaneous on multiple projects to ensure they come in within the schedule and under budget • Lead a team of external construction project managers • Coordinate internal resources in support of Supply Chain management for Owner Furnished equipment and resources • Advocates safety as number one priority on the jobsite and enforces compliance with company and jobsite safety plan and policies and all safety-related regulations • Lead establishing entitlements to support data centers developments including building permits and all other specific local AHJ processes and required approvals for construction. • Identify expedited permit opportunities & work with local jurisdictions to enable needed timelines. Source local expert & develop key relationships to support • Work with construction team project managers on needed permit dates & coordinate with construction teams as appropriate • Work with design and construction teams to provide schedules needed to achieve project milestones. • Create & build relationships that enhance Cologix ability to be an industry leader • Work with the internal and external teams to enhance processes and protocols • Must be a capable, proven team player that both fosters and operates well within internal and external team environments • Strong planning skills along with the ability to lead through influence and to be a proactive partner • Assists in the preparation of construction and development estimates for the project and prepares project budgets and unit cost reports. • Leads the project team in preparing project planning and organizes and conducts pre-award and pre-construction meetings • Participates in value engineering services as appropriate, negotiation and preparation of project scopes of work and contracts. • Reviews plans and specifications and determines their completeness and consistency and plans the successful execution of the construction contract. • Oversees the contractor’s material and equipment procurement, buyout, and submittals. Ensure budgets are maintained and procurement aligns with the construction schedule. • Monitors the project site for cost, safety, quality, and schedule performance with the contractors and monitors project quality, safety, and risk management plans. • Negotiates change orders and manages the resulting cost and budget impact. • Reviews and approves monthly pay requests. • Controls the payment of project design and construction costs based on document review and approval. Coordinates with the accounting for payments and lien releases and leads regular job cost reviews. • Works closely with the commissioning team to ensure coordination of vendors and contractor commissioning teams to achieve turnover to customers. • Coordinates all final close out procedures for the project as delivered by the contractor, including as-built drawings, close out, letter of substantial completion. • Continually tracks project costs, allowances, contingencies within the financial software. • Able to solve problems at a tactical and functional level • Provide Data-driven action plans for executive decision making to manage and effectively present information in a manner to support efficient decision making • Mitigate risk for the project through pre-planning, innovative planning, and partnership

• 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.