Data Science Researcher
Core
Developing end-to-end ML systems, GenAI, and agentic AI flows for NICE's Workforce Management solution to forecast work volume and optimize agent schedules for contact centers.
Role type
Senior IC machine-learning engineer (workforce management & GenAI)
Builds
Production-level forecasting and scheduling models, agentic AI systems, and optimized shift schedules for contact center customers.
Domain
Workforce management, contact center operations, machine learning, generative AI
Deliverable
production ML models
Required skills
Machine learning, Generative AI, agentic AI, time-series forecasting, mathematical optimization, software integration, project leadership
Preferred skills
None stated
Technologies
None explicitly listed
Responsibilities
Develop end-to-end ML systems tailored to specific project needs; Deploy GenAI and agentic AI systems to customers in production; Design and build agentic AI flows with tool use and multi-step reasoning; Forecast work volume and optimize shift schedules using time-series methods and mathematical optimization; Integrate new features into large existing software systems; Run unstructured evaluation processes to experiment and feed conclusions back to the team; Own projects end-to-end and lead team members to efficient planning and delivery.
