Top Hybrid Data Engineer Jobs in Los Angeles, CA
The Facilities Systems & Data Analysis Staff is responsible for partnering with various stakeholders to develop solutions for the Facilities Directorate, analyze technical requirements, design effective processes, and optimize system resources across multiple technical areas.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.
As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.
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As a Senior Database Engineer, you will improve database performance, delivery, stability, and security. Responsibilities include the development and maintenance of databases, troubleshooting issues, optimizing features, and collaborating with cross-functional teams to enhance data integrity and quality.
The Director of People Systems & Data will develop and manage the strategy for People information systems, ensuring data accuracy and compliance. Responsibilities include leading the People Data & Analytics function, optimizing systems, collaborating with various departments, managing vendor relationships, and ensuring effective data management practices.
The Sr. Director of Data Analytics will lead a team to develop data-driven analytic solutions that drive business growth, focusing on areas such as product planning, customer insights, and operations. The role involves consulting with stakeholders, creating dashboards, and improving analytics practices within the organization.
Top hybrid Companies in Los Angeles, CA Hiring Data + Analytics Roles
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