Datafold

Data Scientist

• Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows
• Perform technical benchmarking, integration feasibility analysis, and build-versus-buy assessments
• Develop and apply quantitative models to assess migration risk, predict data quality issues, and validate data consistency across source and target databases
• Coordinate end-to-end customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution
• Design, build, and maintain internal data pipelines and supporting infrastructure integrating structured and unstructured data sources
• Develop analytical playbooks, migration frameworks, and data-driven operational accelerators
• Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL
• Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk
• Implement data models, dashboards, and internal reporting structures
• Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating partner-solution implementation
• Act as an internal subject matter resource for data pipeline evaluation and migration methodologies
• Translate operational findings into structured product feedback

Data Scientist – Migration Intelligence