Top Hybrid Data Science Jobs in Los Angeles, CA
Perform cryogenic measurements of semiconductor spin qubit devices, analyze results, develop new measurement techniques, and collaborate with a multi-disciplinary team to advance technology. Requires Ph.D. in Physics, Applied Physics, or Electrical Engineering with a focus on quantum technologies.
The Information Assurance Analyst is responsible for ensuring the appropriate operational security posture is maintained for an information system. They work closely with the Information Systems Security Manager, System Administrators, and Information Security Owner to manage the security aspects of a system, conduct security operations, and ensure compliance with security authorization packages. The role involves coordinating system changes, conducting security training, identifying vulnerabilities, and providing file transfer support for classified information.
Looking for a Senior Machine Learning Scientist to develop new machine learning products for a real-time acquisition marketing platform. Responsibilities include hands-on development of scalable algorithms, keeping up with latest ML advancements, and contributing to the company's ML roadmap.
Join Snap Inc as a Data Scientist and apply quantitative analysis, data mining, and statistical modeling to deliver impactful insights for informed business and product decisions. Collaborate with cross-functional teams to optimize product performance and drive projects to completion.
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The Senior Data Scientist at Sensor Tower will leverage digital advertising and industry knowledge to drive strategies that improve the accuracy and offerings for our Digital Marketing insights solution. The role involves developing data modeling algorithms, working on AI projects, and acting as a subject matter expert for digital advertising.
Join Warner Bros. Discovery as a Data Scientist II to support the Max marketing teams in understanding the impact of marketing on sales, profitability, and brand equity. Develop and maintain market mix models, analyze media spend performances, and optimize media spend to maximize subscriber growth and revenue. Must have expertise in SQL, R, Python, and Databricks with 3+ years of experience in data science and statistical modeling.
Lead Data Scientist working closely with cyber SMEs and business stakeholders to produce a holistic cyber risk view across the enterprise. Responsibilities include leading data analytics processes, managing cyber metrics program, and analyzing data to share insights with peers.
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