Applied Scientist: Process Discovery for Agentic Automation
MetAntz
Skan is seeking an Applied Scientist to design and build scalable systems that learn from vast, noisy data to recover underlying process structures and decision logic. You will collaborate across research, engineering, and product teams to turn observations into actionable, auditable automation strategies for enterprise software.
You will tackle variability across traces, focus on representation learning and foundation-model adaptation, and contribute to end-to-end processes that enable
#J-18808-LjbffrVacancy posted 4 days ago
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