Top Data & Analytics Jobs in Los Angeles, CA
The Principal Machine Learning Engineer will drive the development of ML solutions addressing complex business problems, implement algorithms for recommendation systems and generative AI, and mentor senior data scientists. This role involves collaboration across teams to enhance ML capabilities and deliver value to customers.
The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.
The Control Systems Analyst will manage the lifecycle of Building Management Systems, Electrical Power Monitoring Systems, and Alarm Management platforms, ensuring compliance with operational standards and industry regulations. Responsibilities include developing product strategies, collaborating with engineering teams, managing product releases, and providing technical training.
The Web Analytics Specialist at Elevar will be responsible for managing onboarding, implementation, and ongoing support for clients. The role involves utilizing Google Analytics and Google Tag Manager for tagging and event tracking, conducting audits, and providing support to analysts. The specialist will actively refine their skills while ensuring customers can effectively maximize their data collection efforts.
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As a Principal Applied Scientist, you will develop advanced machine learning models for digital advertising, analyze large datasets for insights, collaborate with engineering teams, and mentor junior scientists while ensuring model performance aligns with changing market conditions.
As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure. You will lead data pipeline development, architect efficient data solutions, and optimize ETL processes while working with cloud platforms and big data technologies. Collaboration with cross-functional teams is essential as you contribute to strategic data initiatives.
The Data Analyst will analyze diverse datasets and machine learning model outputs, providing insights and visualizations. Responsibilities include collaborating with account managers, delivering reports, supporting the sales team, and ensuring project quality aligned with client objectives.
The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.
The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.
The Senior Marketing Data Analyst will analyze customer acquisition, retention, and market trend data to provide insights and reporting solutions. Responsibilities include building dashboards, managing the martech stack, conducting statistical modeling, and collaborating with various teams to optimize marketing strategies.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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