Data Scientist - Migration Analytics & AI Pipelines

Openkrill; United States; Remote; USD 132,000 - 178,000; Full time

Job summary

Datafold, Inc. in Brooklyn, NY is seeking a Data Scientist focused on migration intelligence to support data migrations, data infrastructure projects, and AI-assisted workflows.

You will benchmark tools, design analytics pipelines, and coordinate cross-functional delivery across customers and partners. The ideal candidate holds a Master's in a quantitative field and has at least two years in data science or analytical roles with AI/ML performance assessment.

Qualifications

• Master's degree in a quantitative field (Data Science / Applied Mathematics).
• Minimum 2 years in data science, technology evaluation, or applied analytics with AI/ML performance assessment.

Responsibilities

• Evaluate third-party tools, platforms, and emerging tech for data migration and AI-assisted workflows.
• Develop models to assess migration risk and data quality across source/target environments.
• Coordinate end-to-end delivery of customer data migration projects with cross-functional teams.
• Design, build, and maintain data pipelines and supporting infrastructure for analytics and operations.
• Develop repeatable analytical playbooks and migration frameworks based on project delivery experience.
• Implement data quality monitoring, regression validation, and lineage analysis using Python and SQL.
• Evaluate multi-cloud environments for cost, reliability, and integration risk.
• Implement data models, dashboards, and internal reporting to unify information for product, sales, and ops teams.
• Support partnerships by assessing integration opportunities and coordinating implementations.
• Act as an internal SME for data pipeline evaluation and migration methodologies.

Skills

Data Science

AI/ML evaluation

Performance benchmarking

Education

Master's Degree in Data Science

Tools

Python

SQL

Job description

Datafold, Inc. in Brooklyn, NY is seeking a Data Scientist focused on migration intelligence to support data migrations, data infrastructure projects, and AI-assisted workflows.

You will benchmark tools, design analytics pipelines, and coordinate cross-functional delivery across customers and partners. The ideal candidate holds a Master's in a quantitative field and has at least two years in data science or analytical roles with AI/ML performance assessment.