Top Senior Level Data Science Jobs in Las Vegas, NV

The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.

Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.

The Staff LLM Data Scientist will design and fine-tune large language models for various applications, build advanced Retrieval Augmented Generation (RAG) pipelines, and implement evaluation frameworks for model performance. They will deploy models ensuring low latency and reliability, while collaborating with product and engineering teams.

The Senior Unified Communications Analyst will resolve user incidents related to Unified Communications, manage video teleconferencing systems, assist in installation and maintenance of communication equipment, and collaborate with cross-functional teams to ensure efficient operations. Weekly reporting and documentation are also part of the role.

The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.