Data Scientist
Core
Build and run production ML models and analytics systems for a legal-tech platform, supporting pricing, margin, and operational decisions.
Role type
Data Scientist (MLOps & Analytics)
Builds
Production ML models, BI dashboards, pricing logic, and operational scoring frameworks
Domain
Legal technology / Creditors' rights
Required skills
Machine learning, MLOps, AWS SageMaker, Python, SQL, statistical modeling, financial modeling, BI dashboard design, feature engineering, model monitoring
Preferred skills
AI coding tools, rules-based logic, Metabase
Technologies
AWS (SageMaker, Lambda, Glue, EventBridge), Metabase, Confluence, ORM
Responsibilities
Build full lifecycle of production ML models including deployment and monitoring; Create BI reporting for leadership on revenue and margin; Conduct pricing and margin analysis for client accounts; Develop scoring and prioritization frameworks for daily operations; Partner with engineering on data pipelines and database performance; Document methods and decisions
