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Top Hybrid Data Management Jobs in Los Angeles, CA

2 Days Ago
Hybrid
Santa Monica, CA, USA
298K-400K Annually
Expert/Leader
298K-400K Annually
Expert/Leader
AdTech • Digital Media • News + Entertainment
The Vice President of Data Science will lead a team to develop advanced analytics, machine learning models, and experimental designs to support Disney's streaming services. Responsibilities include overseeing model development, improving predictive accuracy, and fostering cross-functional collaboration to drive strategic business decisions.
Top Skills: PythonRSQL
2 Days Ago
Remote
Hybrid
67 Locations
100K-232K Annually
Senior level
100K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The Google Cloud Data Engineer at PwC will design and implement data architecture, develop data pipelines, and lead projects utilizing Google Cloud services. The role involves mentoring and coaching team members while ensuring data governance and compliance, and managing client relationships effectively.
Top Skills: DatabricksGoogle Cloud PlatformHadoopKafkaQuickbaseSnowflakeSparkSQLTerraform
5 Days Ago
Hybrid
El Segundo, CA, USA
134K-201K Annually
Senior level
134K-201K Annually
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
The Engineering Manager - Satellite Control Analyst will provide technical guidance and manage a team involved in spacecraft control systems, risk assessments, design analyses, and operational support, while coordinating activities and promoting new tools for enhanced expertise.
Top Skills: MatlabPython

Featured Jobs

5 Days Ago
Hybrid
Los Angeles, CA, USA
200K-250K Annually
Mid level
200K-250K Annually
Mid level
Fashion
The Data Science Lead at SKIMS will lead the development of data science and AI/ML solutions for critical business processes, including demand forecasting and customer analytics. Responsibilities include building data products, ensuring high-quality data capture, and supporting organizational analytics competencies.
Top Skills: PythonR
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