Scrum Master

1. Scrum Master: Agile, Scrum/Kanban, experience with managing/launching Data Science Products Key Responsibilities: Facilitate Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives Guide the team and organization on Agile/Scrum best practices and principles Remove impediments to the teams progress and shield the team from external disruptions Collaborate with product owners, data scientists, analysts, and engineers to ensure successful delivery of data-driven solutions Track sprint progress, team velocity, and delivery timelines using Agile project management tools (e.g., Jira, Azure DevOps) Foster a culture of continuous improvement and team empowerment Support the launch and iteration of data science and machine learning products Required Skills: Strong understanding and practical experience with Agile methodologies (Scrum, Kanban) 3–5+ years of experience as a Scrum Master, preferably in a data or technology-focused environment Proven ability to manage cross-functional teams and data science/AI/ML product lifecycles Excellent facilitation, coaching, and communication skills Familiarity with Agile metrics, backlog grooming, and stakeholder coordination Preferred Qualifications: Experience with data science tools, pipelines, or analytics workflows Certifications such as Certified Scrum Master (CSM), PMI-ACP, or SAFe Scrum Master Experience with Agile project management tools (Jira, Confluence, etc.)