# Data Scientist - Growth at Legora > Onsite · United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/ashby%3Alegora%3A5fd9fc81-e9af-4d6b-af86-94a1c3d4fdce (read 2026-11-06). ## Facts (observed) - Company: [Legora](https://alderhq.app/companies/legora) - Location text: New York City - Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York City") - Posted: 2026-10-28 (9 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/legora/5fd9fc81-e9af-4d6b-af86-94a1c3d4fdce - Skills listed (inferred): dbt ## Pay and sponsorship - Posted pay: $132k–$178k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 56): p25 $108k, median $150k, p75 $197k ## Description (the employer's text) ### About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $200M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. As a Data Scientist for Growth at Legora, you'll build the data foundations that help our go-to-market teams make better decisions. You'll work end-to-end: connecting data from business systems, building reliable pipelines and dbt models, defining shared metrics, and answering questions about how we grow. Your background may be in analytics engineering, data science or data engineering. You enjoy building data models that others can trust and reuse, and working closely with business teams to put that data to use. 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. Together with RevOps and Marketing Ops, get modelled data back into the business systems, so Sales, Marketing and Customer Success can act on it in the tools they already use. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Alegora%3A5fd9fc81-e9af-4d6b-af86-94a1c3d4fdce and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.