Senior Data Scientist - Product

Job summary

Responsibilities

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.

• Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers.
• Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product.
• Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers.
• GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago.
• Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations.

What they're looking for

• 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)

Tech stack

• dbt
• SQL
• Python
• Snowflake