Scrum Master

August 28

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Disrupt, Lean Forward and Get Stuff Done!

Agile Methodologies and Coaching • Design • Development • Devops & Cloud • Data Science & Analytics

51 - 200

Description

• Facilitate daily team meetings for progress updates, organizing and leading Sprint planning sessions, and managing Sprint review processes, retrospectives, and progress tracking charts • Proactively identify and resolve obstacles in sprints and projects to ensure timely completion of objectives • Provide Agile training and coaching to team members and stakeholders • Craft and refine user stories • Create and implement metrics and reporting systems • Develop and sustain comprehensive requirements documentation • Act as an influential communicator to bridge gaps between diverse product owner perspectives • Employ expert negotiation and conflict resolution skills

Requirements

• US Citizenship • Active or prior IRS or Department of Treasury clearance at the Public Trust level or above • Bachelor's Degree in Computer Science, IT, Math, Engineering, Data Science or related field, or equivalent experience • Certified Scrum Master (CSM) • Scaled Agile Framework (SAFe) Certification • Minimum of 5 years experience in an Enterprise IT environment, with experience leading data science projects • Experience with requirements tools and tracking (e.g. JIRA) • Experience with software lifecycle, implementation tools, languages, and methodologies such as GitHub, Oracle, AWS, Java • Experience providing Agile training and coaching, specifically tailored to data science teams • Experience conducting daily scrum stand-up meetings, PI planning and Release planning, facilitating Sprint planning meetings and coordinating Sprint reviews, retrospectives, and burn-down charts for data science projects • Experience identifying and removing impediments from sprints and projects to ensure on time completion, with an understanding of the unique challenges in data science • Experience developing user stories, including facilitation, prioritization, and negotiation with business sponsors, stakeholders, project sponsors, product owners, and development teams, with a focus on data science • Experience developing metrics and reports for tracking sprint, project, and overall program execution, with a focus on metrics relevant to data science projects • Experience creating and maintaining requirements documentation, including business process flows, functional specifications, use cases, test plans, and supplementary specifications, specifically for data science projects • Excellent communication and documentation abilities