Staff Data Scientist (Insurance Claims)

Das ist der Job

Founded in 2017, CLARA Analytics is headquartered in California’s Silicon Valley.

Darum lohnt es sich

You’ll also serve as a critical bridge to Data and Application Engineering teams, ensuring seamless integration with downstream systems such as benchmarking and fraud detection.

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. Proven ability to lead and execute projects across Data Science, Engineering, DevOps, and Product teams.

Salary + Bonus Benefits: generously subsidized health insurance, employer‑paid ancillary benefits, flex/unlimited PTO, fully remote, 401k with company match Be a part of a team that is passionate about what we do! #J-18808-Ljbffr About CLARA Analytics CLARA Analytics is the leading AI as a service (AIaaS) provider that improves casualty claims outcomes for commercial insurance carriers and self‑insured organizations.

The company’s product suite for workers comp, commercial auto and general liability insurance claims applies image recognition, natural language processing, and other AI‑based techniques to unlock insights from medical notes, bills and other documents surrounding a claim.

CLARA’s customers include companies from the top 25 global insurance carriers to large third‑party administrators and self‑insured organizations. For more information, visit www.claraanalytics.com.

About the role We’re seeking a Staff Data Scientist to architect and lead the development of our core Claim Clustering Platform—the intelligence layer that powers how we compare and analyze Bodily Injury (BI) claims across Workers’ Compensation, General Liability, and Auto Liability.

This is a highly technical, hands‑on role where you will design systems that move beyond experimentation into robust, production‑grade solutions. You’ll collaborate closely with Machine Learning Engineers and MLOps specialists to ensure scalability, reliability, and continuous improvement.

What You’ll Do 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.

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. What We’re Looking For 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.

What We Offer The opportunity to make a real impact on a growing company. Collaborative and supportive work environment. Competitive compensation package.