Senior Data Scientist, Norm AI
$175-215k
+ equity
More information about location
3-4 days a week in office
Legal & Compliance AI
Be an early applicant
Legal & Compliance AI
101-200 employees
Be an early applicant
$175-215k
+ equity
More information about location
3-4 days a week in office
101-200 employees
Company mission
To make compliance advice abundant.
Role
Who you are
- 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
- 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 the job involves
- 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
- 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
- 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
Application process
- 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
Our take
Regulatory compliance is both critical and complex. Risks and regulations are constantly evolving, and compliance teams can struggle to keep up. This is where Norm AI steps in, with a platform to support the work of compliance teams and help them work faster, smarter and more efficiently.
The platform works by delivering regulation-aware AI agents, built specifically to handle the problems compliance teams face. The agents enable proactive compliance, supplying reports that check compliance against the most up-to-date versions of regulations such as the Clean Air Act and Social Security Act.
In the future, Norm AI hopes to expand the offering to cover all relevant laws and regulations. Its an ambitious goal, but one that is supported by a substantial amount of investment. With these funds, the company will continue to expand its platform and grow both its client base and team.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Nov 2025
$50m
GROWTH EQUITY VC
Mar 2025
$48m
EARLY VC
Total funding: $136.1m
Company benefits
- Competitive salary and equity
- 401(k) plan with a highly competitive employer matching contribution
- Top-tier health, dental, hospital, accident and vision insurance
- Free lunch provided when working from the office
- Paid parental leave
- State bar fee reimbursement
- Relocation reimbursement to move to NYC
Company HQ
Downtown Brooklyn, NY
Leadership
John Nay
(Founder & CEO)Fellow at CodeX, The Stanford Center for Legal Informatics. Also a Visiting Scholar in Artificial Intelligence and Law at Vanderbilt University Law School, and Co-founder and Chairman of the Brooklyn Investment Group (where they were previously CEO).
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