Remote Data Science Manager: Lead Analytics & ML

Socket.dev; Irvine (CA); On-site; USD 119,000 - 198,000; Full time

Benefits offered by this job

Medical (HDHP) w/Pharmacy

Dental

Vision

Life Insurance

401K

ROTH 401K

Paid time off

Job summary

CorVel, a national provider of risk management solutions, seeks a Data Science Manager to lead a team of data scientists and develop advanced quantitative models. This is a remote position with a market-based pay range and comprehensive benefits.

You will communicate analytics results to stakeholders and help drive strategic decisions that impact multiple lines of business. The role emphasizes leadership, collaboration, and delivering actionable insights at scale.

Qualifications

• 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.

Responsibilities

• Develop advanced quantitative modules to support predictive assessments.
• Communicate analytics model behavior/results to business stakeholders.
• Carry out technical risk analysis and reliability assessments.
• Perform complex analyses including optimization, text analytics, ML and statistics.
• Design algorithms that combine different models/methods.
• Apply data science techniques to business problems.
• Manage a team of data scientists to complete all project deliverables.
• Apply engineering approaches to deliver business value.

Skills

Communication skills

Sense of urgency

Organizational skills

Statistical analysis

Education

Bachelor's degree in Computer Science

Experience developing enterprise software

Job description

CorVel, a national provider of risk management solutions, seeks a Data Science Manager to lead a team of data scientists and develop advanced quantitative models. This is a remote position with a market-based pay range and comprehensive benefits.

You will communicate analytics results to stakeholders and help drive strategic decisions that impact multiple lines of business. The role emphasizes leadership, collaboration, and delivering actionable insights at scale.