Top Data & Analytics Jobs in Los Angeles, CA

The Machine Learning Engineer will design and implement ML model pipelines, scale algorithms, enhance ML engineering platforms, and ensure code quality. Responsibilities include collaborating with teams, managing models, conducting architectural evaluations, and utilizing bug tracking and version control tools.

As an Applied AI Scientist at ZS, you will develop advanced algorithms, apply statistical techniques on large data sets, evaluate emerging technologies, and contribute to thought leadership through research and publications.

As a Decision Analytics Associate Consultant, you will develop and implement advanced statistical models and AI techniques, leveraging analytics to inform decisions on customer engagement and optimizing resources. Your role includes designing custom analyses, synthesizing results for clients, mentoring associates, and enhancing ZS's capabilities.

As a Decision Analytics Associate Consultant, you will analyze healthcare data, focusing on insights derived from Electronic Health Records (EHR) to improve patient care. You will develop statistical models, design analyses using various tools, synthesize results for clients, and mentor associates, all while collaborating with healthcare providers.

The Decision Analytics Consultant will analyze and manage healthcare data, specifically focusing on Electronic Health Records (EHR) to derive insights that enhance decision-making and patient care. Responsibilities include identifying data trends, supporting healthcare providers, collaborating with clients to understand their information needs, and effectively communicating results to stakeholders.

As a Data Science Associate Consultant, you'll develop efficient algorithms to solve complex problems using machine learning and statistical techniques. You'll analyze data trends, collaborate with clients on findings, mentor team members, and contribute to advancing analytical platforms and thought leadership efforts.

The Data Science Manager leads the development of innovative ML-based products addressing complex business problems, architects AI-enabled data products, manages cross-functional teams, and engages with clients to deliver transformative solutions as well as shapes firm strategy in AI.