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Salary: USD 155,000 - 155,000 / annual
Datafold is seeking a Data Scientist to join their Migration Intelligence team in Brooklyn, NY (with telecommute flexibility across the continental US).
You will evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows, including technical benchmarking, integration feasibility analysis, and build-versus-buy assessments. You'll develop and apply quantitative models and analytical frameworks to assess migration risk, predict data quality issues, and validate data consistency across source and target database environments throughout migration project delivery.
Key responsibilities include coordinating end-to-end delivery of customer data migration projects (scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution), designing and maintaining internal data pipelines and supporting infrastructure that integrate diverse structured and unstructured data sources, and developing repeatable analytical playbooks and migration frameworks based on hands-on project delivery experience.
You will implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL to support platform development and customer migration engagements. You'll evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk, producing analytical recommendations that inform architectural and sourcing decisions. Additionally, you will implement data models, dashboards, and internal reporting structures that unify multiple sources of information into actionable insights for product, sales, and operational teams.
You'll support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating technically sound implementation of partner solutions, and serve as an internal subject matter resource for data pipeline evaluation and migration methodologies.
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 Analytical roles
- Experience must include performance assessment of AI/ML technologies
