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Senior Data Scientist - Product

legoraStockholm HQAnalytics
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

The Senior Data Scientist - Product role at Legora is based at the Stockholm HQ and suits an analytical professional driven by impact, pace, and raising the bar in an AI-first environment. This position involves turning complex data into actionable decisions by working closely across business functions.

Role Overview

Legora is hiring a Senior Data Scientist for Product to join a centralised team supporting the entire organisation. The role allows practitioners to take questions end-to-end, from shaping metrics and modelling data in dbt to running analyses and providing recommendations. The team operates with an AI-first mindset, focusing on ownership, direct feedback, and high standards.

Key Responsibilities

Partner with stakeholders across Product, Finance, GTM, Growth, and other departments to transform ambiguous questions into structured analyses and actionable recommendations.
Establish key metrics, design experiments or evaluations to test them, and measure the impact of shipped features.
Perform deep-dive analyses on critical business questions and proactively surface unasked questions.
Model necessary data using dbt, incorporate new sources when required, and collaborate with data engineering for scalable solutions.
Create scalable dashboards and reporting to enable self-service company-wide answers.
Assist in defining data team operational standards, tooling, and workflows during scale.

Requirements

Strong proficiency in SQL and Python.
Solid understanding of data modelling and building reliable, trusted analytical work.
Excellent communication and data storytelling skills to influence decisions and push back when data contradicts proposed directions.
Genuine depth in at least one core area, with competence and curiosity across the rest: data modelling and analytics engineering, experimentation and causal inference, machine learning and applied data science, or product analytics and metric design.

Nice to Have

Experience working in a product-led or B2B SaaS environment.
Hands-on familiarity with the company technology stack including Snowflake, dbt, Hex, and Dagster.
Prior background as an early data hire at a fast-growing organisation.

Skills and Tools

SQL
Python
dbt
Snowflake
Hex
Dagster

About the Company

Legora is an AI-native workspace provider designed alongside legal teams to process thousands of documents rapidly and power end-to-end workflows. Serving over 2,100 customers across more than 80 countries with a scale of over $200M in ARR, the company maintains teams globally across Europe, North America, and APAC. The organisation partners with prominent global performers and maintains a culture centered on ownership, direct feedback, and high standards.

How to Apply

To apply for this position, please visit the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the Senior Data Scientist - Product position located?

The role is located at the Stockholm HQ.

What technical languages and tools are required?

Candidates must have strong proficiency in SQL and Python, alongside a solid grasp of data modelling.

What teams might I be embedded with upon joining?

Depending on strengths and company needs, you could be embedded with Product, Finance & RevOps, Growth & Marketing, or GTM & Customer Success.

What tools are included in the company's tech stack for nice-to-have experience?

Snowflake, dbt, Hex, and Dagster.

Is a specific single background required for this job?

No single profile is required; candidates are expected to excel in at least one area—such as data modelling, experimentation, machine learning, or product analytics—and demonstrate competence across the others.

Ready to apply?

The application is on the official legora careers page.

Apply on company site