Data Scientist - Migration Intelligence

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

ABOUT THE ROLE

Data Scientist - Migration IntelligenceDatafold, Inc. - Brooklyn, NYMay 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.