Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, validate, and operationalize predictive and machine learning models; mine and analyze large datasets; create visualizations and statistical validation; collaborate with teams to integrate solutions and communicate results to stakeholders.

Lead enterprise data platform strategy, architecture, engineering, integration, quality, and operations. Drive cloud modernization, scalable ETL/ELT, data governance, observability, MDM, interoperability, and platform reliability to support analytics, AI, regulatory compliance, and business outcomes. Build and manage senior data engineering and operations teams, vendor relationships, and budgets.

Senior technology leader owning enterprise BI, analytics, data science, and AI strategy. Leads BI, Data Science, and ML Engineering teams; drives model development, MLOps, governance, regulatory compliance (HIPAA/CMS), generative AI adoption, vendor decisions, and executive reporting to improve clinical, financial, and operational outcomes.

Perform actuarial analyses and profitability reporting to support management decisions; calculate monthly IBNR reserves; evaluate reimbursement processes; run regular and ad-hoc data studies to improve efficiency, MLR, and operating results; participate in cross-functional initiatives and present findings to stakeholders.

Lead actuarial pricing, forecasting, reserving and modeling efforts. Develop assumptions, maintain actuarial models, evaluate financial experience, support rate filings and IBNR estimates, provide strategic recommendations, manage staff and vendor relationships, and report findings to leadership.