Data Scientist II

About the role

This role is for a Data Scientist within our data product space. The focus is on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. The role involves translating complex business problems into data-driven approaches and model-based outputs, working closely with product managers, engineering teams, and business stakeholders.

Responsibilities

• Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies
• Create new, experimental frameworks to collect data
• Build tools to automate data collection
• Develop custom data models and algorithms to apply to data sets
• Design, build, train, and deploy machine learning models and data products for enterprise use
• Translate business and operational needs into scalable data science solutions and modeling approaches
• Perform feature engineering, data preparation, and exploratory analysis to support model development
• Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems
• Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate
• Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services
• Perform model validation, testing, and documentation to ensure quality and reproducibility
• Contribute to technical design discussions and provide input on architecture and implementation strategies
• Work within the full software development lifecycle (SDLC), including version control, testing, and release processes
• Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders
• Develop A/B testing framework and test model quality

Requirements

The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG).

Qualifications

• Strong problem-solving skills with an emphasis on product development
• Strong foundation in machine learning, statistical modeling, and data science techniques
• Experience building and deploying machine learning models in production environments
• Familiarity with modern AI approaches, including: Natural language processing (NLP), Large language models (LLMs), Retrieval-Augmented Generation (RAG)
• Experience with cloud platforms such as Azure, AWS, or similar ecosystems
• Familiarity with data pipelines, APIs, and integration patterns
• Proficiency in programming languages such as Python and database management including SQL
• Strong problem-solving skills with the ability to structure complex problems into analytical solutions
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks, and experience with applications
• Excellent presentation and written/verbal communication skills

Skills

• Experience with large language models (LLMs) and retrieval-augmented generation (RAG)
• Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar
• Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies
• Experience working within enterprise software environments and SDLC practices

Benefits

CorVel offers a comprehensive benefits package which includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off. CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.