Design, build and operate applications built around advanced optimization models in production at scale. This includes API design, data ingestion, multiprocessing, observability, advanced algorithm development, performance benchmarking, and automated testing. Build automated evaluation and test model behaviour. Design and operate the evaluation system that supports development and delivering features with confidence. Specify precisely and direct AI coding agents. Contribute to teams AI-harness helping shape the way agents are leveraged. Own quality, safety, and reliability in production. Manage deployments, monitor service availability, implement alerting and respond to customer issues before they even know they have a problem. Work closely with customers when the work calls for it. Understanding business requirements and product capabilities to help customers get to value faster and use learnings to influence product roadmap. Partner with product managers, designers, conversation designers, and engineers to define success criteria, align on tradeoffs, and communicate capability and risk clearly. 5+byears of related experience with a bachelor’s degree in computer science, software engineering, or related technical field. Advanced degrees or certifications (especially in Operations Research) are a bonus. Software engineering fundamentals. Strong command of OOP, data structures, algorithms, system design, concurrency, parallelism, APIs, data modeling, and testing.



Comfort working directly with customers under incomplete information and fixed timelines, judgment about when a fast local solution is right and when to hold out for the durable one, and credibility communicating capability, limitation, and risk to non-engineers. AI Native Approach. Strong critical thinking and a track record of integrating AI into engineering processes, SDLC, workflows, or decision making. Familiarity with Operations Research, Vehicle Routing Problems, Mathematical Optimization, Field Service Management is a plus but not required Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. ServiceNow is an equal chance employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.

📌 Lead Ai/Ml Data Scientist (Canada)
🏢 Y-Axis
📍 Canada