Data Scientist II

Summary

CorVel Corporation is a national provider of industry-leading risk management solutions. They are seeking a Data Scientist to design, build, and deploy machine learning models and data products that support enterprise initiatives, collaborating closely with product managers and engineering teams.

Responsibilities

• Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies
• Creating new, experimental frameworks to collect data
• Building 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
• Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)
• 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
• Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms
• 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
• Passion for technology and emerging AI/ML trends
• Additional duties as assigned

Skills

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred
• 2–5+ years of experience in data science, machine learning, or related roles
• Experience developing and deploying machine learning models in production environments
• Strong foundation in machine learning, statistical modeling, and data science techniques
• Experience building and operationalizing machine learning models
• Strong problem-solving skills with an emphasis on product development
• Familiarity with modern AI approaches, including Natural language processing (NLP), Large language models (LLMs), Retrieval-Augmented Generation (RAG)
• Feature engineering and model evaluation techniques
• Experience working 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
• 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
• 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 preferred
• Experience working within enterprise software environments and SDLC practices preferred
• Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred
• Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred
• Experience working within enterprise software environments and SDLC practices preferred

Qualifications

Must Haves

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred
• 2–5+ years of experience in data science, machine learning, or related roles
• Experience developing and deploying machine learning models in production environments
• Strong foundation in machine learning, statistical modeling, and data science techniques
• Experience building and operationalizing machine learning models
• Strong problem-solving skills with an emphasis on product development
• Familiarity with modern AI approaches, including Natural language processing (NLP), Large language models (LLMs), Retrieval-Augmented Generation (RAG)
• Feature engineering and model evaluation techniques
• Experience working 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
• 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
• 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 preferred
• Experience working within enterprise software environments and SDLC practices preferred

Nice to Haves

• Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred
• Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred
• Experience working within enterprise software environments and SDLC practices preferred

Benefits

• 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
• Paid time off