Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Analyzing data sources, designing and building data engineering pipelines, and deploying machine learning models for consumer-facing products at NBCUniversal Entertainment.

The Data Transfer Agent role involves transferring data between systems in a timely manner to support the organization's mission. This position works closely with customers throughout the enterprise, conducts data transfers between security domains, maintains documentation, and follows Assured File Transfer procedures.

Seeking a Senior Machine Learning Engineer to drive product strategy forward by leveraging in-house code and data frameworks, developing scalable algorithms, and collaborating with cross-functional teams to enhance ML systems.

The Aerospace Corporation is seeking an experienced Workday Functional Analyst to be responsible for the maintenance and enhancement of the Human Capital Management (HCM) processes in Workday. Key functions include analysis, design, configuration, testing, training, implementation, and support of the system. This role involves troubleshooting production support issues, gathering requirements, documenting designs, and evaluating options for change.

CNN Underscored is seeking an SEO Analyst with 4+ years' experience in growing SEO organically for a Commerce publisher. The ideal candidate will have a deep knowledge of organic search and a passion for digital audience growth. Responsibilities include driving audience growth through SEO efforts and collaborating with writers and editors to increase engagement. The role also involves training and optimizing content for search engines.

The Data Analyst at Centerfield will leverage data, analytics, and metrics to drive revenue and profit. Responsibilities include providing actionable insights to stakeholders, generating visual reports and dashboards, running predictive analyses, and modeling for media buying, category management, and sales teams.

Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize decisioning pipeline, and experiment with modeling techniques on customer data.