Top Senior Level Data Science Jobs in Los Angeles, CA
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.
As a Staff Data Scientist - Marketing at Cash App, you will be responsible for optimizing marketing efforts, analyzing data to improve ROI, and collaborating with cross-functional teams. The role involves building models, conducting A/B experiments, and providing insights to drive business initiatives. Requirements include a bachelor's or graduate degree in statistics or data science, proficiency in SQL and data visualization tools, and experience in scripting languages like Python or R.
Build cloud-based AI/ML solutions for enterprise services, collaborate with a team to produce quality software, work on detailed requirements, and deliver high-quality solutions to users.
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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.
Develop models, statistical analyses, and machine learning algorithms to predict marketing outcomes. Provide analytical support for marketing and advertising campaigns. Mentor junior data scientists and drive best practices in marketing research.
Seeking a Senior Data Scientist to integrate physics-informed machine learning solutions with 3D printing technologies, collaborate with cross-functional teams, extract insights from data, lead exploration of new data science techniques, and communicate insights to stakeholders.
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