Data Scientist - Migration Intelligence

Datafold; New York (NY); Hybrid; USD 140,000 - 171,000; Full time

Job summary

Datafold in Brooklyn, NY is seeking a Data Scientist focused on Migration Intelligence to evaluate tools, model migration risk, and drive data infrastructure for client projects.

The role emphasizes building data pipelines, regression validation, and cross-functional collaboration with product, sales, and operations. Remote work from the continental US is possible.

Qualifications

• Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field.
• At least 2 years of data science/analytical experience, including AI/ML performance assessment.

Responsibilities

• Evaluate third-party tools, platforms, and emerging technologies for data migration, data infrastructure, and AI-assisted workflows; conduct benchmarking and build-versus-buy analyses.
• Develop quantitative models to assess migration risk, predict data quality issues, and validate data consistency across source/target environments.
• Coordinate end-to-end data migration projects: scoping, sequencing, milestones, risk, dependencies, and cross-functional execution.
• Design and maintain internal data pipelines and infrastructure integrating diverse data sources for analytics and operations.
• Create repeatable analytical playbooks and data-driven accelerators from project delivery experience.
• Implement data quality monitoring, automated regression validation, and lineage workflows using Python and SQL.
• Evaluate cloud and multi-cloud environments for cost, reliability, and integration risk; provide architectural recommendations.
• Implement data models, dashboards, and reporting structures unifying data sources for product, sales, and ops.
• Support partnerships by assessing integrations and coordinating implementations.
• Act as internal SME for data pipeline evaluation and migration methodologies.

Job description

About the Role

Data Scientist - Migration Intelligence
Datafold, Inc. - Brooklyn, NY
May telecommute from the continental U.S.

What You’ll Do

• Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows, including technical benchmarking and integration feasibility analysis, and build-versus-buy assessment.

• 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.

• Coordinate end-to-end delivery of customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution across internal teams, customers, and external partners.

• Design, build, and maintain internal data pipelines and supporting infrastructure that integrate diverse structured and unstructured data sources for analytics and reporting and operational use cases.

• Develop repeatable analytical playbooks, migration frameworks, and data-driven operational accelerators based on hands-on project delivery experience.

• Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL to support platform development and customer migration engagements.

• Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk, producing analytical recommendations that inform architectural and sourcing decisions.

• Implement data models, dashboards, and internal reporting structures that unify multiple sources of information into actionable insights for product, sales, and operational teams.

• Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating the technically sound implementation of partner solutions.

• Act as an internal subject matter resource for data pipeline evaluation and migration methodologies, validating analytical workflows on internal data and translating operational findings into structured product feedback.

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.

Salary

$155,000.00/Year

Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.