Top Senior Level Data Science Jobs in Los Angeles, CA

As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving the foundational Data services and capabilities for AI and Machine Learning solutions. You will work closely with AI Product Managers and engineers to research, troubleshoot, and resolve data requests and issues in a timely manner. This role requires deep engagement with the engineering team in data initiatives and providing exceptional support to business units with customer datasets.

Seeking a Director of Data Science to lead a team in partnering with marketing, sales, and product teams to drive business growth and launch high-impact initiatives. Responsibilities include driving high-quality data practices, developing predictive models, analyzing marketing trends, and building scalable data foundations. This strategic role will involve shaping the future of the business through data-driven insights and leadership.

Develop and deploy AI models using advanced data science techniques for various applications. Collaborate with stakeholders to drive business growth and communicate findings effectively. Evaluate and implement state-of-the-art AI projects.

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.

The Data Scientist role at PwC entails collecting domain context, defining hypothesis and prediction tasks, conducting experiments with various algorithms, creating models for predictions, and communicating insights with stakeholders. The role also involves developing expertise in technology, advising stakeholders, and navigating global teams and engagements.

Data Science Manager responsible for developing and executing analytic techniques on large data sets to help clients make better decisions in the Supply Chain & Manufacturing space. Key responsibilities include project management, client engagement, business development, team leadership, and thought leadership.

Designs, develops, and programs methods, processes, and systems to analyze and generate insights from big data sources. Works with product and service teams to identify questions and issues for data analysis. Develops software programs and algorithms to evaluate large datasets. Interprets and communicates insights and findings to managers.