Data Science Jobs in San Jose, CA

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

The Director leads engineering for AI-first solutions, overseeing design, implementation, and management of data platforms, while fostering innovation and cross-functional collaboration.

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 research and development in Generative AI, enhance conversational AI capabilities, and deliver AI powered products while collaborating with cross-functional teams.

Lead the GenAI Digital Assistant team at Capital One, overseeing the development of AI-powered products and leveraging advanced machine learning techniques for conversational applications.

Lead and optimize networking product operations, collaborate on strategies, manage supply plans, and present insights to executives. Oversee product roadmap and forecasting to drive revenue and operational efficiency.

The Senior Director will lead optimization of networking operations, manage supply chain strategies, and collaborate across business segments for growth.

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.

Lead Product Manager for Xoom partnering with Risk & Compliance to build compliant, scalable remittance product features. Drive strategy, roadmaps, cross-functional execution, metrics, and product profitability while embedding risk controls through design, data, and operations.

Lead product vision and strategy for AI assistant products, drive cross-functional execution from ideation to launch, use data and research to measure product success, ensure profitability, and partner with global teams to scale and standardize analytics and market research.

Lead AI-driven autonomous shopping initiatives at PayPal, managing strategy, technology development, partnerships, and customer experience to enhance digital commerce.

Lead Safety Architect for autonomous vehicles, focusing on safety architecture, metrics, analysis, and collaborative processes for software delivery and safety standards.

As an Intern - Design Engineer, you will use AI and machine learning techniques in NAND Flash development, collaborating on innovative projects.

Drive finance-focused AI and data projects end-to-end: translate finance needs into technical solutions, manage stakeholders and vendors, track requirements and action items, understand technical architectures (AI/ML, data engineering, automation, security), facilitate decisions, and keep teams aligned to deliver on time and to specification.

The Senior System Safety Engineer will perform safety analysis and develop safety concepts for autonomous vehicle technology, ensuring safety in software releases and collaborating with engineers for effective implementation.

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

Lead the strategic execution of AI, Data Science, and Automation initiatives, ensuring measurable business value and operational consistency.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

Lead data science projects to design models and analyze datasets, ensuring data quality while mentoring junior scientists and collaborating with teams.

The Senior Developer Relations Manager will drive the adoption of NVIDIA's technologies in agriscience by engaging developers and partners, demonstrating solutions, and providing technical resources to foster innovation.

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

Design and implement advanced data science models, lead projects, analyze datasets for insights, ensuring data quality, and mentor junior scientists.

Lead the strategy and execution of AI-driven shopping experiences, focusing on agentic AI. Collaborate cross-functionally to enhance user experiences and leverage AI technology for business growth.

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