lever
Data Scientist, Senior-Level
jobgether
Remote, CAN
Full-time
Remote
Discovered 1 weeks ago
Data scienceMachine learningStatistics and mathematicsAgentic AIGenerative AILarge language model applications
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Data scienceMachine learningStatistics and mathematics
Role Overview
The partner company is seeking a senior Data Scientist based in Canada to influence enterprise-wide data and AI transformation initiatives.
The role combines hands-on data science with product ownership, technical architecture, governance, and client advisory responsibilities.
The position covers modern data ecosystems and intelligent, agentic AI solutions from strategy through end-to-end delivery.
Key Skills for This Role
Data scienceMachine learningStatistics and mathematicsAgentic AIGenerative AILarge language model applications
Full Job Posting
Role Overview
The partner company is seeking a senior Data Scientist based in Canada to influence enterprise-wide data and AI transformation initiatives.
The role combines hands-on data science with product ownership, technical architecture, governance, and client advisory responsibilities.
The position covers modern data ecosystems and intelligent, agentic AI solutions from strategy through end-to-end delivery.
Accountabilities
- Design, build, and orchestrate agentic AI workflows, generative AI applications, LLM-based solutions, and intelligent autonomous systems.
- Translate business objectives and user needs into product backlogs, user stories, technical requirements, and execution roadmaps.
- Own Data and AI initiatives from strategic definition through architecture, development, implementation, and delivery.
- Design modular, scalable, and reusable Data and AI components for complex enterprise environments.
- Apply data stewardship practices covering quality, lifecycle management, privacy, governance, security, and production readiness.
- Collaborate with stakeholders, project managers, engineers, data professionals, and other cross-functional teams.
- Lead demonstrations, architecture discussions, technical workshops, and high-level stakeholder conversations.
- Identify opportunities to improve enterprise data ecosystems and scale advanced AI capabilities.
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