Data Scientist

About Our Client

This organization operates in the healthcare technology sector, focusing on improving health outcomes by connecting people with care, pharmacy benefits, data, and resources. Its efforts address challenges in healthcare affordability, operational efficiency, and trust in healthcare data by deploying advanced AI and machine learning solutions to prevent fraud, waste, and abuse in healthcare claims. The team includes AI/ML engineers, data scientists, and specialists who build and scale machine learning systems with a broad impact on healthcare claims processing.

About the Opportunity

The Data Scientist will design, develop, and deploy advanced machine learning and generative AI solutions to enhance claims automation, anomaly detection, and investigative workflows. This role is critical in creating scalable AI systems that improve fraud prevention and operational efficiency in healthcare claims, collaborating across teams to translate complex business challenges into effective ML and AI-driven solutions.

Responsibilities

• Design, train, finetune, and deploy Large Language Models and Generative AI components for claims-related workflows
• Build and operationalize machine learning pipelines using Python, PySpark, and cloud-native architectures
• Develop traditional machine learning models for classification, anomaly detection, and natural language processing on large healthcare datasets
• Implement retrieval-augmented generation systems, embedding models, and vector database integrations
• Automate data processing, feature engineering, and model training pipelines using big data tools and frameworks
• Collaborate with product, engineering, and clinical teams to develop scalable AI solutions
• Monitor and optimize models in production, ensuring performance, compliance, and responsible AI practices
• Present AI/ML designs and insights to technical and non-technical stakeholders
• Develop AI-powered solutions with an emphasis on responsible AI use

Requirements

• Bachelor's degree in Computer Science or related IT field
• Minimum 5 years of hands-on experience in AI/ML engineering or applied machine learning
• At least 3 years of experience with Python, PySpark, ML frameworks (TensorFlow, PyTorch), and distributed training
• Minimum 3 years working with big data systems (Hadoop, Spark, Hive) and cloud platforms (Azure, AWS, GCP)
• At least 2 years of experience with Large Language Models, including fine-tuning, prompt engineering, and RAG pipelines

Pay Range and Compensation Package

Salary range from $60,200 to $107,400 annually based on full-time employment
Comprehensive benefits package including incentive and recognition programs, equity stock purchase, and 401(k) contribution, subject to eligibility

Benefits & Perks

401(k) contribution

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.