Legora Data Scientist for Growth at Legora builds data foundations to support go-to-market teams' decision-making. The role involves connecting data from business systems, building pipelines and dbt models, and defining shared metrics.
Responsibilities
Build data foundations that help go-to-market teams make better decisions
Connect data from business systems
Build reliable pipelines and dbt models
Define shared metrics
Answer questions about growth related to marketing, sales, customer success, and lifecycle
Qualification
You'll be based in our New York officeWe're an AI-first data teamWe're a smallMarketingSales & RevOpsCustomer SuccessLifecycleWhat you will be doingOwn the Growth data modelHands-on experience with our stackMost importantly
Required
You'll be based in our New York office, sitting with the Growth data team. Our go-to-market data is spread across a CRM, marketing automation and messaging platforms, sales engagement and call tools, support tooling, and our own product. Making those systems agree with each other, and with what customers actually do in Legora, is the heart of this job.
We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice.
We're a small, centralised team supporting the whole company. This seat is for Growth. Working closely with RevOps and the GTM teams, you'll help answer questions like:
Marketing: acquisition funnels, attribution and CAC, campaign measurement, and what actually moves enterprise legal buyers.
Sales & RevOps: what drives pipeline, sales performance and pilot-to-customer conversion.
Customer Success: account health, expansion and churn signals, and renewals in a category that didn't exist three years ago.
Lifecycle: getting modelled data back into the CRM and messaging tools, so teams act on it where they already work.
You'll partner directly with leaders across Marketing, Sales, RevOps and Customer Success who are data-fluent and eager to act on the wealth of data across our business. Your role is to bring structure to that data, uncover insights together, and build the tools and foundations that let them explore questions for themselves, shaping how we sell, where we spend, how we price, and which customers we invest in.
What you will be doing
Own the Growth data model: turn raw data from our CRM, marketing, messaging, sales engagement and support systems into trusted, documented dbt models that join cleanly to product usage.
Bring new GTM sources into the warehouse when you need them, and partner with data engineering on anything that needs to scale beyond your immediate use case.
Work with RevOps and GTM leaders on the metrics that matter (pipeline, conversion, attribution, CAC, retention and expansion), so each has one trusted definition across teams.
Preferred
Experience in B2B SaaS with an enterprise, sales-led motion.
