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Data Scientist - Migration Intelligence

datafoldUSAEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Mid · 2+ yrs
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

This Data Scientist position is suited for a quantitative professional with a Master's degree and prior industry experience who wants to focus on migration intelligence in the USA or remotely from the continental United States. The role is based at Datafold, Inc. in Brooklyn, New York, with telecommuting options available across the continental U.S.

Role Overview

The Data Scientist - Migration Intelligence position at Datafold involves evaluating emerging technologies, building quantitative models for migration risk, and managing end-to-end customer migration projects. The professional in this role will design internal data pipelines, implement data quality monitoring, and provide architectural recommendations for cloud environments.

Key Responsibilities

Assess third-party tools, platforms, and AI-assisted workflows through technical benchmarking and integration analysis.
Build quantitative models and analytical frameworks to predict data quality issues and evaluate migration risks across database environments.
Oversee the complete delivery of customer data migration projects, handling project scoping, milestone planning, and cross-functional execution.
Construct and maintain internal data pipelines integrating structured and unstructured data sources for reporting and operations.
Create repeatable analytical playbooks and data-driven operational accelerators derived from project delivery.
Apply Python and SQL to establish data quality monitoring, automated regression validation, and lineage analysis workflows.
Analyze cloud and multi-cloud data environments to provide cost efficiency and architectural recommendations.
Design data models and dashboards to generate actionable insights for sales, product, and operational teams.
Support technology partnerships by coordinating technical implementations and integration opportunities.
Serve as an internal subject matter resource for migration methodologies and translate operational findings into product feedback.

Requirements

Master's Degree in Applied Mathematics, Data Science, or a related quantitative discipline.
Minimum of 2 years of work experience in technology evaluation, applied analytical roles, or Data Science, including performance assessment of AI and machine learning technologies.

Skills and Tools

Python
SQL
Cloud and multi-cloud data environments
Data pipelines and modeling frameworks
Analytical dashboards and reporting tools

Salary and Benefits

Annual salary of $155,000.00

About the Company

Datafold, Inc. is located in Brooklyn, New York. The organization functions as an equal opportunity employer that maintains a commitment to inclusion and diversity without discrimination regarding protected characteristics such as race, color, religion, sex, national origin, age, disability, or sexual orientation.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonSQL

Questions candidates ask

What is the location of the Data Scientist - Migration Intelligence role?

The position is based in Brooklyn, New York, with an option to telecommute from the continental United States.

What is the annual salary for this position?

The salary is $155,000.00 per year.

What educational background is required?

Applicants must hold a Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field.

How many years of experience are needed?

Candidates must have at least 2 years of prior experience in Data Science, Technology Evaluation, or Applied Analytical roles, which must include performance assessment of AI/ML technologies.

What programming languages are utilized in the role?

Python and SQL are used to implement data quality monitoring, automated regression validation, and lineage analysis workflows.

Ready to apply?

The application is on the official datafold careers page.

Apply on company site