updated 18 days ago
Data Science Manager (AI)
9 927 - 16 477$
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Job description
Text:
TL;DR
Data Science Manager (AI): Building and deploying production-grade machine learning models, AI solutions, and data products with an accent on cloud platforms, model lifecycle management, and scalable data architectures. Focus on designing LLM agents and RAG workflows, monitoring model performance, and leading technical teams through the full software development lifecycle.
Location: Remote, associated with Irvine, California, USA
Salary: $119,127–$197,729 per year
Company
provides risk management solutions for workers’ compensation, auto, health, and disability management industries. The company is publicly traded, operates across the United States, and employs more than 4,000 people.
What you will do
- Design, build, train, and deploy production-grade machine learning models, AI solutions, and data products.
- Translate business requirements into data science projects and actionable insights for business and technical stakeholders.
- Build data visualization solutions and collaborate with engineering teams on data sources, quality, pipelines, and scalable production deployments.
- Develop post-deployment model monitoring frameworks and recommend adjustments to maintain accuracy and robustness.
- Contribute to architecture, technical design reviews, governance frameworks, security, and maintainability across the full software development lifecycle.
- Lead, coach, and mentor a team of data and AI professionals while guiding modeling, feature engineering, and data analysis practices.
Requirements
- 7+ years of hands-on data science experience, preferably in data products, banking, finance, insurance, or a related field.
- 5+ years of experience leading teams and driving enterprise-level change initiatives.
- Bachelor’s or Master’s degree in data science, information systems, computer science, business, or a related discipline; a Master’s degree is preferred.
- Strong experience with machine learning, AI solution development, statistical modeling, production data products, and ML lifecycle management.
- Hands-on experience with Azure, AWS, or similar cloud platforms; data pipeline orchestration; Python; and SQL.
- Deep understanding of LLM agent orchestration, RAG patterns, embeddings, vector indexing, and chunking of unstructured data.
Culture & Benefits
- Remote work arrangement.
- Medical, dental, vision, long-term disability, life, accident, and critical illness insurance.
- Health Savings Account, Flexible Spending Account, and legal insurance options.
- 401(k), Roth 401(k), paid time off, and parking and transit FSA accounts.
- Supportive culture with professional development and career advancement opportunities.
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