Senior Data Scientist

Stack

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 is shipped
• ▹Conduct deep-dive analyses on the questions that move the business, and proactively surface new questions
• ▹Model data in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale
• ▹Build dashboards and reporting that scale beyond the individual
• ▹Help shape how the data team operates as the company scales: standards, tooling, ways of working

Requirements

• ▹Strong proficiency in SQL and Python
• ▹Solid grasp of data modelling and building reliable, trusted analytical work
• ▹Excellent communication skills and confidence to influence decisions through data storytelling
• ▹Genuine depth in at least one of: data modelling/analytics engineering (dbt, dimensional modelling, semantic layers), experimentation and causal inference, machine learning and applied data science, or product analytics and metric design, with competence across the rest

Nice to have

• ▹Experience in a product-led or SaaS environment, ideally B2B
• ▹Hands-on experience with the company's stack: Snowflake, dbt, Hex, Dagster
• ▹Prior experience as an early data hire at a fast-growing company

Soft skills

About the company

Legora is redefining how legal work gets done, building an AI-native workspace used by 1,000+ customers across 50+ countries, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. The company has scaled to $100M+ in ARR with teams across Europe, North America, and APAC.