Senior Data Scientist - Product

Legora • New York, NY

2d • $169,150 - $228,850

About The Position

Legora is redefining how legal work gets done. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. We have scaled to $100M+ in ARR, with teams across Europe, North America and APAC. As a Senior Data Scientist for Product at Legora, you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to. Insights are useful; impact is what we hire for. We're an AI-first data team and want someone excited to help define what that looks like in practice. You'll likely be excellent at one or two of the core data science areas (data modelling/analytics engineering, experimentation/causal inference, machine learning, stakeholder influence) and competent across the rest. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with Product, Finance & RevOps, Growth & Marketing, or GTM & Customer Success. You'll partner directly with leaders across Product, Engineering, Finance, and GTM. Your work will directly influence how we prioritise, how we sell, how we price, and how we build.

Requirements

• Strong proficiency in SQL and Python.
• Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted.
• Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do.
• Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service), Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour), Machine learning and applied data science (forecasting, prediction, segmentation, evaluation), Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics).

Nice To Haves

• Experience in a product-led or SaaS environment, ideally B2B.
• Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster.
• Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it.
• Someone who 'Gets stuff done' and understands building a $10bn company isn't always glamorous and takes hard work and long hours.
• Thrives in a fast-paced environment where the answers aren't always clear and processes are few.
• Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to.

Responsibilities

• Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations.
• Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship.
• Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet.
• Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case.
• Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible.
• Help shape how the data team operates as we scale: standards, tooling, ways of working.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed