Senior Data Scientist

About Norm Ai Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust. Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise. We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO). Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams. AI Fluency: Norm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end. Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity. About Norm Law Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership here https://www.reuters.com/legal/transactional/legal-ai-startup-draws-new-50-million-blackstone-investment-opens-law-firm-2025-11-20/). Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice. Norm Law and Norm Ai, together, are building Legal AGI. This Role As a Senior Data Scientist at Norm, you will join our growing data team to build and scale our analytics capabilities. You'll develop data models and insights that power our AI compliance engine and shape how we measure, understand, and optimize our product. Working directly with our Director of Data and cross-functional partners in Product, Engineering, and Executive teams, you will translate complex Compliance and Legal Engineering workflows into actionable insights while helping establish best practices and foundations for our expanding analytics function. You Will: - 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 ELTprocesses using dbt, Airflow, and our cloud data warehouse - Help establish data governance practices that meet enterprise security and regulatory compliance requirements Skills & Experience - Core - 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 Skills & Experience - Pluses - Experience with AI/ML model evaluation: precision/recall trade-offs, calibration, distribution shift, behavioral monitoring - Experience working with sparse labels or human-in-the-loop evaluation set ups - Analytics experience in regulated industries (FinTech, RegTech, compliance) - Background working with enterprise compliance or legal workflows - Startup experience with rapidly changing analytics requirements What Success Looks Like - 30 Days - Develop comprehensive understanding of our product and current data landscape - Assist in setting up foundational data infrastructure and begin implementing core analytics tracking - Document our data requirements and create a roadmap for analytics capabilities - Establish relationships with key stakeholders across Product, Engineering, and Business teams What Success Looks Like - 60 Days - Deploy production data pipelines and establish reliable data collection across the platform - Launch initial set of product analytics dashboards for user behavior and AI model performance - Begin analysis of compliance workflow patterns to identify optimization opportunities - Create self-service analytics capabilities for the broader team Compensation and Benefits $175,000 - $215,000 annually The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a hybrid model, typically in-office 3-4 days per week. To learn more about Norm Ai, visit our website https://www.norm.ai.