Scrum Master
6 days ago
Job Type: Contract
We are seeking a seasoned Senior Scrum Master (~8 years’ experience) who has deep domain experience in Data Science, Data Analytics, and Data Engineering. You will lead, coach, and facilitate one or more cross-functional agile teams to deliver data-driven solutions. The ideal candidate will have strong technical understanding, hands-on exposure to data pipelines, machine learning/analytics workflows, and will be adept at removing impediments, ensuring delivery, and fostering high team performance.
Facilitate all Scrum/Agile ceremonies (Sprint Planning, Daily Standups, Sprint Reviews, Retrospectives, Backlog Refinement) for one or more Data Science / Analytics / Data Engineering teams.
Partner with Product Owners, Data Architects, Data Engineers, Data Scientists, BI / Analytics leads to build and maintain healthy, prioritized, and well-defined product backlogs.
Coordinate across teams and with stakeholders (both technical and non-technical) to clarify scope, dependencies, risks, and delivery timelines.
Identify and remove blockers / impediments (technical, infrastructural, cross-team dependency, data availability etc.) Track, measure, and report key Agile metrics (velocity, sprint burn-down/up, cycle time, throughput, defect rates), analyze trends, and drive continuous improvement.
Promote best practices in data engineering & analytics: data pipeline design, data quality, reproducibility, version control, testing, and deployment of ML/analytics models.
Assist in planning capacity, scaling teams, mentoring/coaching team members in Agile mindset and practice.
Experience: ~8+ years in IT, with at least 3-4 years in roles working closely with Data Engineering / Analytics / Data Science teams.
Proven track record as a Scrum Master (or Agile Coach) leading cross-functional / data oriented teams.
Strong understanding of data engineering concepts: ingestion, pipelines (ETL/ELT), data warehouses / data lakes, batch vs stream processing.
Familiarity with data science / ML workflows: feature engineering, model validation, deployment, monitoring.
Spark, Hadoop, Kafka, Airflow (or other orchestration), SQL and NoSQL systems, cloud data platforms (AWS, Azure, GCP), BI & visualization tools.
Agile certifications such as CSM, PSM, or equivalent are preferred.
Excellent communication and stakeholder management skills; ability to liaise between technical teams and business leaders.
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