Staff Data Scientist – Bodily Injury Claims
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Job Description
Staff Data Scientist at CLARA Analytics leading development of Claim Clustering Platform. Collaborating with cross-functional teams to enhance analysis of Bodily Injury claims.
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.
Requirements:
- At least 7 years in Data Science with a strong track record of deploying models into production environments.
- Deep experience with Bodily Injury claims, including 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
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