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Top Data Engineer Jobs in Los Angeles, CA
As a Lead Machine Learning Engineer, you will innovate and implement AI and machine learning to enhance advertising processes, focusing on inventory forecasting, pricing, targeting, and ad delivery. You'll lead the architecture design of ad algorithms, develop scalable data analysis approaches, and mentor team members.
As a Data Architect at PwC, you will design and implement data architecture strategies, develop data pipelines, and integrate data solutions while collaborating with stakeholders. You'll be focused on transforming raw data into actionable insights and ensuring compliance with governance and security policies.
The Staff Data Engineer at Crunchyroll will lead the establishment of data engineering capabilities in AWS and GCP environments, implementing data infrastructure, mentoring a team, and ensuring reliable data delivery across departments. The role involves designing machine learning pipelines and improving data processing performance on a global level, while maintaining an empathetic and service-oriented team culture.
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As a Staff Data Engineer, you will build scalable data infrastructure and design optimized data pipelines to support analytics and drive insights for mental health care. You will collaborate with cross-functional teams and improve data accessibility and quality to support informed decision-making.
As a Machine Learning Engineer at Machina Labs, you will develop predictive models to enhance production systems in smart manufacturing. Responsibilities include data analysis, modeling, building pipelines for ML solutions, and collaborating with engineering teams to automate and optimize manufacturing processes.
As a Data Science Associate Consultant, you will develop advanced algorithms, utilize machine learning and statistical techniques, and collaborate with clients to communicate analysis findings. You will also contribute to asset development, thought leadership, and mentor Associate team members.
The Senior Director of Data will lead a multidisciplinary data organization focused on analytics, data infrastructure, and AI initiatives. Responsibilities include building data strategies, managing a team of data professionals, and ensuring effective use of customer data while partnering across the organization to optimize product features.
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This role involves leading product releases at Metropolis by developing and executing robust testing and release plans. The Product Operations Manager will collaborate with Product Managers and cross-functional teams to drive product adoption, communicate updates, and assess product impact based on data and feedback.
The Machine Learning Engineer will develop innovative advertising technology at Centerfield. Responsibilities include designing data science programs, building machine learning models, and supporting data-informed decision-making across the organization. This role requires strong technical skills, leadership in project delivery, and expertise in large data sets, particularly in the context of Generative AI.
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.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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