Note: The job is a remote job and is open to candidates in USA. CLARA Analytics is the leading AI as a service (AIaaS) provider that improves casualty claims outcomes for commercial insurance carriers and self-insured organizations. They are seeking a Senior Data Scientist to lead the development of their core Claim Clustering Platform, collaborating with various teams to ensure scalability, reliability, and continuous improvement.

Responsibilities

• Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes
• Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management
• Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems
• Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents)
• Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards

Skills

• 4-7 years in Data Science with a strong track record of deploying models into production environments
• Deep experience with casualty claims, including at least 4 years of hands-on work in Workers' Compensation or General Liability. Familiarity with claim lifecycles, medical billing (ICD/CPT), litigation processes, and reserve dynamics is crucial
• Strong proficiency in Python and solid software engineering fundamentals, including system design, CI/CD pipelines, and API development/versioning
• Expertise in unsupervised learning techniques (clustering, dimensionality reduction) and NLP methods (transformers, embeddings, LLM-based approaches) for analyzing complex, unstructured data
• Proven ability to lead and execute projects across Data Science, Engineering, DevOps, and Product teams

Benefits

• Generously subsidized health insurance
• Employer-paid ancillary benefits
• Flex/unlimited PTO
• Fully remote
• 401k with company match

Company Overview

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