Hybrid Scrum Master

at Brillio

• Job title: Scrum Master
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Python, SQL
• Location requirements: Hybrid, Chicago, United States

About the role

• Scrum Master facilitating Agile delivery and collaboration for data science projects at Brillio. Ensuring smooth progress through Scrum practices and effective stakeholder management.

Responsibilities

• Facilitate all Scrum ceremonies — daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Remove impediments and ensure the team’s smooth progress toward sprint goals.
• Coach the team and stakeholders on Agile principles and practices to ensure adoption and continuous improvement.
• Maintain transparency on team progress through effective use of Agile tools (e.g., Jira, Azure DevOps).
• Ensure proper sprint forecasting, story point estimation, and velocity tracking.
• Understand data science project lifecycles — from problem definition to model training, validation, and deployment.
• Collaborate closely with data scientists, data engineers, and MLOps engineers to align sprint deliverables with business objectives.
• Facilitate cross-functional communication between business, data, and technology teams.
• Act as a bridge between product owners, technical teams, and business stakeholders.
• Manage dependencies and coordinate across multiple teams.
• Ensure timely delivery of high-quality, production-ready data products and ML models.

Requirements

• Core Agile Skills Certified Scrum Master (CSM, PSM I/II, or equivalent).
• 3–5 years of experience as a Scrum Master in cross-functional Agile teams. Proven track record of managing multiple sprints and delivering analytics or data-centric projects.
• Data Science Competence Familiarity with data science concepts — data wrangling, model development, feature engineering, and evaluation metrics.
• Exposure to tools and technologies such as Python, SQL, Jupyter, MLflow, Databricks, Snowflake, or Azure ML.
• Understanding of the CI/CD process for machine learning (MLOps).
• Experience working with Data Engineers and ML Engineers on pipelines and data infrastructure.
• Soft Skills Strong communication, facilitation, and conflict resolution skills.
• Ability to translate complex technical concepts into business-friendly language.
• Excellent stakeholder management and problem-solving abilities.
• Proactive mindset with focus on continuous improvement and team empowerment.

Benefits

• Know what it’s like to work and grow at Brillio: Click here