Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data
Develop and apply quantitative models and analytical frameworks to assess migration risk, predict
Coordinate end-to-end delivery of customer data migration projects, including scoping, sequencing
Design, build, and maintain internal data pipelines and supporting infrastructure that integrate
Develop repeatable analytical playbooks, migration frameworks, and data-driven operational
Implement data quality monitoring, automated regression validation, and lineage analysis workflows

🎯 Requirements

Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field.
At least 2 years of previous experience in Data Science, Technology Evaluation, or Applied

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