Top Hybrid Data Science Jobs in Los Angeles, CA

The Microelectronics Failure Analysis Scientist will perform research and analysis on microelectronic devices used in space systems. Responsibilities include technical support to national security space programs, conducting failure analysis using advanced techniques, and presenting research findings. The role demands expertise in physics of failure and hardware security.

The X-ray Imaging Scientist at Aerospace Corporation will perform characterization of aerospace parts using X-ray techniques to identify failures and enhance device reliability. Responsibilities include data collection, technical support for national security programs, and conducting innovative research in X-ray imaging. Strong communication and teamwork skills are essential.

As a Composites Research Scientist at Aerospace, you will lead R&D for composite materials, optimize manufacturing processes, conduct investigations into materials failures, and develop novel applications for space technologies while collaborating with various stakeholders.

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 an Applied AI Scientist at ZS, you will develop advanced algorithms for high-dimensional problems, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership through research and publication.

Lead the development of innovative ML-based products, architect AI-enabled data products, lead research and design for new product lines, and engage with clients to deliver transformative solutions. Oversee development cycles and foster talent through recruitment and training.

The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.

The Lead Data Scientist will apply advanced machine learning and statistical analysis to develop models for user retention and content optimization. Responsibilities include deep analysis of user data, development of visual insights, and close partnership with business stakeholders to unlock data opportunities.