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We are seeking an experienced and motivated Scrum Master to guide and support two agile teams specializing in AI/ML initiatives.

These teams work closely with Data Science, Compliance, and Analytics to develop innovative tools that enhance both Home and Branch Office environments while ensuring a smooth progression from exploration to production.

Responsibilities
  • Coordinate scrum ceremonies such as PI Planning, Sprint Planning, Stand-Ups, Refinement, Sprint Review, Sprint Demo, and Retrospectives
  • Participate in Scrum of Scrums and PO Sync Ups to identify risks and dependencies
  • Collaborate with product owners, product managers, and the RTE to align stories with team capacity
  • Solve impediments through coordination and innovative problem-solving
  • Track team dependencies while working with other Scrum Masters to mitigate them
  • Analyze sprint data to identify potential risks to sprint objectives
  • Monitor Agile metrics and take actions to improve team performance
  • Guide the scrum team on Agile principles and practices to ensure delivery of business value and quality standards
  • Assist with internal communication to ensure transparency and share relevant information across stakeholders
  • Facilitate team discussions, decision-making processes, and conflict resolution
  • Evaluate current Agile Release Train (ART) practices with the RTE and implement improvements
Requirements
  • Experience in serving as a Scrum Master for at least 3 years within a software development environment
  • Development background in any technology prior to transitioning into the Scrum Master role
  • Proficiency in Agile principles and frameworks such as Scrum or SAFe
  • Familiarity with analyzing Agile performance metrics to improve team delivery and collaboration
  • Expertise in coaching and leading Agile ceremonies to strengthen team dynamics
  • Capability to resolve impediments through innovative problem-solving and coordination
  • Bachelor’s degree in a relevant field
  • Strong communication, facilitation, and team coaching capabilities
Nice to have
  • Background in mobile technologies
  • Understanding of advanced AI, ML, and data science concepts
  • Familiarity with transitioning exploratory tools into production environments that prioritize compliance and analytics
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn