Top Hybrid Data Science Jobs in Los Angeles, CA
Join Snap Inc. as a Research Scientist in User Modeling and Personalization. Lead research projects, build scalable prototypes, and collaborate with engineering teams to deliver personalized experiences to users. PhD in a related field or equivalent experience required. Strong technical knowledge of machine learning algorithms and relevant frameworks essential.
Be part of a startup within a large organization launching a new video streaming application, supporting marketing teams in understanding marketing impact on sales, profitability, and brand equity. Develop market mix models, analyze media spend, optimize media spend for subscriber growth and revenue, and present findings to business partners and executives.
Research and experiment with machine learning algorithms, work on data analysis and modeling, collaborate with Engineers to scale models, use big data skills, and bring data modeling together. Partner with Data Engineers to deploy projects.
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Join a team focused on improving quantum-dot-based spin qubit systems through advanced measurements. Responsible for designing and analyzing broadband assemblies, with a focus on signal integrity and electromagnetic effects.
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.
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.
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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