Senior Data Scientist developing data models and insights for AI compliance engine. Collaborating with teams to optimize product performance in legal workflows.
Responsibilities
Design and maintain multi-dimensional measurement frameworks for evaluating AI performance across the Norm Law workflow
Analyze telemetry and behavioral logs to understand how attorneys, legal engineers, and clients interact with AI-generated work, surfacing drivers of quality and efficiency
Design and run experiments with rigorous statistical design, clear hypotheses, and honest accounting of real-world constraints
Develop frameworks to measure and communicate performance across key dimensions of legal work quality
Implement product analytics to understand how enterprise clients engage with our AI-driven compliance and legal workflows
Build self-service analytics capabilities so legal engineers and business stakeholders can monitor performance independently
Build data models; contributing to ELT processes using dbt, Airflow, and our cloud data warehouse
Help establish data governance practices that meet enterprise security and regulatory compliance requirements
Requirements
5-7 years of data science experience with demonstrable statistical depth
1-2 years of data engineering exposure
Data Science experience and strong experimental design skills such as hypothesis testing, A/B testing
Experience defining and measuring quality in ambiguous, multi-dimensional settings
Proficiency with SQL, Python, and modern data stack tools (dbt, Hex, Airflow, Snowflake/BigQuery/Redshift)
Strong analytical background with experience at small startups where you've worn multiple data hats
Experience building analytics from scratch at early-stage companies
B2B SaaS experience with understanding of enterprise customer analytics
Ability to translate complex business questions into technical data solutions
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