Job Description
Chicago, IL (Hybrid)
C2C or W2
Skills:
Strong Agile Methodology exposure, JIRA . Work with Data Science & Machine Learning team.
Exposure to tools and technologies such as Python, SQL, Jupyter, MLflow, Databricks, Snowflake, or Azure ML – Good to have.
Primary Skills
- scrum master with good exposure to Jira
- hands on experience working with data science or ML teams
- strong understanding of iterative development of data pipelines, model training , experimentation, and deployment
Specialization
- Agile Scaling Framework: Scrum Master
Job requirements
- Key Responsibilities:
- Agile Delivery Leadership 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.
- Data Science & Engineering Collaboration Understand data science project lifecycles — from problem definition and data preparation 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.
- Support teams in managing technical debt, model versioning, and experiment tracking. Ensure reproducibility, documentation, and traceability of data and model assets.
- Stakeholder & Delivery Management Act as a bridge between product owners, technical teams, and business stakeholders.
- Drive clarity in requirements and sprint goals by facilitating data-driven discussions.
- Manage dependencies and coordinate across multiple teams (e.g., data engineering, analytics, and platform).
- Ensure timely delivery of high-quality, production-ready data products and ML models.
- Support the Product Owner in backlog prioritization based on business impact and data readiness.
- Required Skills & Qualifications:
- 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.
Best Regards
- Naveen Vulupala
- (An eVerified Participant)
- (A Subsidiary of Headwaytek Inc)
- 1159 Sonora Court, Suite 120
- Sunnyvale, California 94086
- naveen@codebaseinc.com
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