Top Senior Level Data & Analytics Jobs in Las Vegas, NV

The Senior Database Administrator and Performance Engineer will oversee the performance, availability, and restorability of database servers for SaaS applications in AWS. Responsibilities include monitoring transactions, optimizing indexes, troubleshooting performance issues, collaborating on database design, and ensuring data durability and integrity through effective backup and recovery processes.

The Senior Systems Analyst will optimize Vital Farms' Record to Report functions by planning, designing, implementing, and supporting related systems. Responsibilities include defining requirements, application configuration, user training, and enhancing business processes in collaboration with stakeholders.

The Senior Application Scientist configures and supports the implementation of Dotmatics solutions in complex laboratory and research environments. Responsibilities include data integration, monitoring data flow, conducting technical reviews, providing customer training, and collaborating with cross-functional teams to meet customer needs.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

The Compensation & People Insights Analyst at Niche will analyze HR data to drive strategic decisions in employee compensation and performance. Responsibilities include maintaining data integrity, developing dashboards, conducting compensation analysis, and ensuring compliance with regulations. The role requires collaboration with stakeholders to enhance employee experience through actionable insights from metrics.

The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.

The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.