
1001 - 5000 employees
Founded 1987
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
CorVel Corporation is a risk management and healthcare services company that provides integrated claims and care solutions for payors and employers. It specializes in workers' compensation, liability and disability management, provider and pharmacy networks, and alternative risk solutions, and it offers technology platforms that use AI and data analytics to streamline claims administration, improve outcomes, and reduce costs.
🕒 August 5
🏄 California – Remote
💵 $119.1k - $197.7k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 35%
Where this job comes from
Posted on CorVel Corporation's careers page, not through a job board
First seen by Remote Rocketship August 5
Still open on CorVel Corporation's site. Checked 1 hour ago.

1001 - 5000 employees
Founded 1987
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
CorVel Corporation is a risk management and healthcare services company that provides integrated claims and care solutions for payors and employers. It specializes in workers' compensation, liability and disability management, provider and pharmacy networks, and alternative risk solutions, and it offers technology platforms that use AI and data analytics to streamline claims administration, improve outcomes, and reduce costs.
• Develop advanced quantitative modules using a variety of programs/software to support predictive assessments • Communicate analytics model behavior and results to business stakeholders • Carry out technical risk analysis and reliability assessments • Perform complex analyses, including optimization, text analytics, machine learning, and statistical analysis • Design algorithms that combine different models and methods • Apply data science techniques and libraries to business problems • Manage a team of data scientists to complete project deliverables • Apply engineering approaches to deliver business value
• Excellent written and verbal communication • Demonstrated ability to provide superior service to internal and external stakeholders • Sense of urgency and ability to multitask in a dynamic, fast-paced environment • Good organizational skills • Statistical analysis skills • Bachelor’s degree in Computer Science is highly desired • Experience developing enterprise software using modern environments and tools
• 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 • Career advancement opportunities • Supportive culture
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 August 5
Senior Data Scientist building AI-enabled tools for Counterpart Health’s chronic-care platform. Leading data products and strategic initiatives that improve physician workflows and patient outcomes.
🇺🇸 United States – Remote
💵 $176.9k - $230k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 August 5
Senior Data Scientist building machine learning, generative AI, and analytics solutions for General Mills’ food business. Developing RAG workflows and models that improve data-driven decisions.
🇺🇸 United States – Remote
💵 $110.8k - $184.8k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 August 4
Data Scientist developing machine learning algorithms for Premier’s healthcare decision-support platform. Analyzing clinical datasets and translating prototypes into products with engineering and clinical teams.
🕒 August 4
Senior Data Scientist developing AI, machine learning, and statistical models for Premier’s healthcare transformation. Analyzing complex clinical datasets and guiding data-driven products and solutions.
🕒 August 4
Manager leading Azure enterprise data platforms and Master Data Management for Internova Travel Group. Guiding data engineering teams, integrations, cloud architecture, and platform delivery.