---
title: 'Data Scientist - Migration Intelligence at Datafold'
canonical: 'https://feeny.ai/job/data-scientist-migration-intelligence-datafold-united-states-q766katvjtvj'
type: 'job'
last_seen: '2026-10-19'
---

# Data Scientist - Migration Intelligence at Datafold

- **Company:** Datafold
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/datafold/5d341aa7-6bc2-4ba2-99d0-10eac34f0335

## 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.

## About Datafold

## Company Overview
- **One-liner**: Datafold is the AI-powered data engineering automation platform that helps data teams validate, migrate, and optimize data pipelines by combining specialized AI agents with a comprehensive data knowledge graph.
- **Entity Type**: Private (Startup; raised $26.2M total; Y Combinator Summer 2020)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Gleb Mezhanskiy (CEO) and Alex Morozov

## Core Business
- **Primary industry/industries**: Data Infrastructure and Analytics
- **Target customers**: B2B – data teams at companies of all sizes, from mid-market to enterprise (e.g., Patreon, Thumbtack, Substack, AngelList, Disney, Perplexity)
- **Mission or purpose statement**: “Empower data and analytics engineers” / “Automate the most complex parts of data engineering: migrations, optimization, CI/CD, and data quality.”

## Products & Services
Datafold offers an AI-powered platform with the following key offerings:

- **Data Knowledge Graph**: A context layer that surfaces lineage, business logic, usage, ontology, and organizational knowledge. Served via MCP (Model Context Protocol) to make AI coding agents reliable.
- **Data Diff and Monitoring (MCP)**: Automated data validation and reconciliation across data sources, exposed via MCP so coding agents can validate their own work and debug production issues.
- **Migration Agent**: AI-powered code translation combined with automated data validation, delivered as a service. Lift-and-shift or modernize pipelines with guaranteed price, timeline, and quality.
- **Optimization & Code Review Agents**: Specialized agents for data pipeline optimization, code reviews, and day-to-day tasks integrated into CI/CD and IDEs.
- **Governed LLM Inference**: Supports LLM inference endpoints approved by security/IT (AWS, GCP, Azure, Snowflake, Databricks) within customer VPCs.
- **Deployment**: Single-tenant / VPC deployment on AWS, GCP, or Azure; SOC 2 & HIPAA compliant.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue of **$4.5M** (estimated, per LinkedIn) and total funding of **$26.2M**
- **Notable Investors/Partners**: Y Combinator, NEA (New Enterprise Associates), Amplify Partners. Customers include Perplexity, Disney, Patreon, Thumbtack, Substack, AngelList.
- **Growth Signals**: 
  - Recent venture round of $4.0M in June 2025
  - Headquartered in New York with remote team across 7 countries (US, Germany, UK, Netherlands, Romania, France, Cyprus)
  - LinkedIn followers: 6,635 (growing ~0.7% monthly)
  - Talent drawn from top tech companies (Weights & Biases, Deliveroo, Zalando, Datadog alumni)
  - Team size ~18 employees on LinkedIn, 30 listed on Y Combinator profile

## Competitive Advantages
- **AI-first automation**: Combines specialized AI agents with a Data Knowledge Graph that provides deep context, enabling reliable code generation and migration.
- **Shift-left approach to data quality**: Inserts validation tools into existing workflows (CI/CD, IDEs) rather than adding a separate monitoring app.
- **Comprehensive context layer**: The Data Knowledge Graph captures lineage, business logic, and organizational knowledge – a moat that makes agents far more accurate.
- **Security & compliance**: SOC 2, HIPAA, single-tenant VPC deployment, and governed LLM inference, appealing to enterprise customers.
- **Proven outcomes**: Guaranteed price, timeline, and quality for migration projects (contractual SLAs).

## Strategic Focus
Datafold is focused on expanding its AI agent capabilities for data engineering, particularly in:
- Automating large-scale data platform migrations (e.g., cloud migrations, code translation)
- Building deeper integrations with AI coding agents (via MCP) to become the standard context layer
- Increasing adoption among enterprise data teams through security and compliance features
- Growing the global remote team and scaling go-to-market with a partnerships lead

## Why Work Here
- **Culture**: Asynchronous-first, remote work culture with global team spanning US and Europe. Values include “extreme ownership,” “ship early and often,” “empower others,” and “contribution to success.”
- **Work location**: Fully remote (US, NL, DE, AT, HR, PL, FI, EE, LV, LT, FR, GB, CY, BG, CZ, DK, GR, HU, RO, LU, MT, PT, ES, SK, SI, SE). Office optional in New York.
- **Compensation**: Competitive salaries ($110K – $200K range per YC) plus equity (0.10% – 0.20%). 
- **Engineering culture**: Small, impact-driven team where engineers own their craft and work on cutting-edge AI + data infrastructure. Tools like MCP, LLMs, and data diffing are core.
- **Perks**: “All-remote team of global data lovers,” async communication, high autonomy.

## Sources
1. [datafold.com](https://www.datafold.com/)
2. [datafold.com/about/](https://www.datafold.com/about/)
3. [ycombinator.com/companies/datafold](https://www.ycombinator.com/companies/datafold)
4. [linkedin.com/company/datafold](https://www.linkedin.com/company/datafold)

## Other roles at Datafold

- [Enterprise Account Executive – US](https://feeny.ai/job/enterprise-account-executive-us-datafold-united-states-fjcb3s1bq2ay) — United States
- [Forward Deployed Data Engineer - Latin America](https://feeny.ai/job/forward-deployed-data-engineer-latin-america-datafold-south-d2r7v93javv0) — South, United States
- [Forward Deployed Data Engineer - US](https://feeny.ai/job/forward-deployed-data-engineer-us-datafold-united-states-rwmvz98mme1k) — United States
- [Forward Deployed Data Engineer - EU](https://feeny.ai/job/forward-deployed-data-engineer-eu-datafold-europe-am3wy37ymvcx) — Europe