Top Remote Data & Analytics Jobs in Las Vegas, NV

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.

The Senior Analytics Engineer will design, develop, and maintain a high-quality data warehouse and analytics solutions, ensuring data pipelines are efficient and accurate. This role includes leading data model transformations, collaborating with cross-functional teams, and enabling self-service analytics to support data-driven decision making.

The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.

The Sr Analyst in Marketing Technologies will oversee the evolution of the marketing technology portfolio, ensuring reliable, customer-focused solutions. Responsibilities include designing architectures, delivering features and upgrades, and collaborating across teams. The role demands the adoption of best practices and the ability to monitor emerging trends to enhance the MarTech stack for organizational needs.

The Strategic Planning Analyst will monitor and analyze inventory levels, ensure compliance with OEM contracts, collaborate with engineering teams to optimize aircraft planning, conduct cost comparisons, assist with special projects, manage ERP system accuracy, and develop inventory purchasing strategies based on performance analysis and KPI evaluations.

The Lead Compliance Analyst is responsible for managing compliance activities, developing compliance frameworks, conducting reviews, implementing compliance programs, training staff, and serving as the main contact for compliance inquiries. They will coordinate audits and risk assessments, monitor regulatory changes, and provide reports on compliance efforts.

The role involves leading and developing data engineering capabilities, architecting data solutions, guiding technology choices, collaborating with teams, mentoring engineers, and working directly with customers to address data challenges in a clinical research platform.