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

The VP of Data and Content Engineering will lead data strategy and content initiatives, develop data models, enhance user experiences, promote engineering excellence, and collaborate with cross-functional teams to drive customer value and innovation for Flexera's platforms.

The Senior Data Engineer will develop robust and scalable data pipelines, architect innovative data products, and integrate advanced AI techniques to convert raw data into actionable insights, collaborating with various teams to enhance user experience.

The Senior Data Engineer will develop and maintain ETL/ELT pipelines, analyze and model complex data, and collaborate across teams to optimize data solutions for performance and scalability. Responsibilities include working with technologies like SQL, Python, and AWS, and ensuring data privacy and security in architectures.

The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

The Director, Pharmacovigilance Scientist is responsible for overseeing safety monitoring activities in clinical trials, conducting signal management, and collaborating with cross-functional teams. They provide scientific expertise, contribute to safety evaluations, and author safety reports, ensuring compliance with regulations and guidelines.

As a Senior Data Scientist, you will leverage advanced analytics tools to develop data-driven solutions and lead end-to-end data science projects. Responsibilities include building predictive models, applying statistical methods, collaborating with teams, and delivering actionable recommendations to stakeholders, while staying updated on emerging Microsoft technologies.