Arbital Health

Data Scientist

Arbital Health

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $180,000 - $220,000 per year

Job Level

Mid-LevelSenior

Tech Stack

ApachePySparkPythonSparkSQL

About the role

  • Arbital Health centralizes, measures, and adjudicates value-based care contracts at scale
  • Design, train, and test LLMs, RAG frameworks, and ML models for high-value use cases
  • Provide cross-functional support to design, validate, and scale AI-driven capabilities on a mission-critical platform
  • Analyze large healthcare datasets (claims, revenue, eligibility) to support client engagements and product strategy
  • Maintain and enhance feature variable library and grouper logic
  • Ensure secure and compliant handling of regulated data (e.g., PHI, HIPAA, financial data)
  • Provide clear, actionable bug reports and support QA efforts
  • Maintain well-documented, reproducible codebases
  • Provide guidance for ethical use of GenAI and machine learning models
  • Create and own update processes for model refreshes
  • Maintain cleaned and enriched benchmark and de-identified datasets for various applications

Requirements

  • Strong proficiency in Python or R
  • Hands-on experience with >1M row, regulated data sets (healthcare, finance, etc.)
  • Deep experience with generative AI, LLMs, and machine learning models (training, fine-tuning, or evaluation, and deployment)
  • Thrives in a collaborative environment, loves to take ownership and accountability
  • 5+ years in data science, machine learning, or AI-related roles
  • Experience with distributed computing frameworks; familiarity or proficiency in Apache Spark (PySpark, Spark SQL) is a plus
  • Proven track record of success in dynamic, fast-paced environments
  • Excellent communication, collaboration, and problem-solving skills
  • Experience using Git/GitHub for version control and collaborative analytics is a plus.