Data Science Jobs in San Jose, CA

The role involves leading a team to build AI-enabled data features, leveraging machine learning, analyzing large datasets, and collaborating across teams to drive product innovation.

The Principal Product Manager will establish the AI product vision and strategy at PayPal, leading cross-functional teams to create innovative and trustworthy AI products that transform financial services globally.

Lead the strategy for AI analytics products, building AI-powered workflows for performance diagnostics and insights. Collaborate with teams to enhance data-driven decision-making and product health monitoring.

Lead operations analytics across NVIDIA's ODM ecosystem, develop data-driven models, implement governance frameworks, and ensure efficient collaboration for AI supply chain enhancement.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

The Developer Relations Manager will support AI-native startups by providing technical guidance on NVIDIA technologies, fostering partnerships, and collaborating to solve engineering challenges.

The role involves leading R&D in Generative AI, optimizing Large Language Models, and collaborating with cross-functional teams to enhance AI-driven products.

Lead a team of data scientists to develop AI-powered products using large language models and other machine learning technologies. Collaborate cross-functionally to operationalize models and drive business outcomes.

The role involves leading data science initiatives, building machine learning models, conducting experiments, and collaborating with teams to enhance customer experiences and business outcomes.

The intern will work with algorithm developers and process engineers to explore data science techniques, focusing on ML and AI to enhance development workflows.

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.

The Sr Lead Product Manager for AI at PayPal drives product strategy, architecting AI roadmaps, overseeing profitability, and collaborating with cross-functional teams to enhance product offerings and customer experiences.

The Principal Product Manager for Billing defines product strategy and roadmap, ensuring efficient billing capabilities and compliance while collaborating with cross-functional teams to deliver scalable solutions.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Product Development Engineer drives testability and manufacturability of circuits, performs yield analysis using data science techniques, and interfaces with various engineering teams to optimize silicon yield and quality.

The Sr Manager, SMB Analytics oversees data analytics functions, leading teams to align analytics initiatives with business strategies and deliver high-quality insights.

Lead and optimize memory procurement plans and strategies while coordinating operations, engineering, product management, and finance across business segments to maximize revenue and growth.

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

As a Principal Associate in Data Science, you will lead AI and machine learning initiatives, focusing on generative AI and language models to enhance customer experiences and support across digital platforms.

The role involves building machine learning models, data analysis, and partnering with various teams to enhance customer experiences in financial services.

Manage a team of data scientists to develop AI-driven software solutions using large-scale data analysis and machine learning. Oversee model development and collaboration with cross-functional teams.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

The Senior Machine Learning Engineer will develop advanced fraud prediction models, utilizing anomaly detection and supervised learning techniques to enhance fraud prevention efforts and collaborate with cross-functional teams to integrate these models into the organization's systems.