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.

Lead product strategy and manage cross-functional teams to enhance customer experience and product profitability, focusing on innovative design and compliance. Oversee data-driven initiatives and partner with various experts to maximize operational efficiency.

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

The role leads the development of advanced data science models and strategies, driving business transformation through innovation in AI and machine learning while mentoring junior scientists.

Lead data science strategy for chargebacks at PayPal, managing projects, infrastructure, compliance, and innovation in data practices.

Responsible for developing and managing products that mitigate fraud while ensuring a seamless user experience by leveraging data and advanced technologies.

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

Lead Technical Product Manager for Agentic Commerce, focusing on AI-driven commerce experiences while managing product strategy and customer needs.

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.

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 product strategy for AI-related efforts in fraud prevention at PayPal, driving innovation, stakeholder alignment, and product adoption.

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

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

The Director of Data Science will lead a team in utilizing machine learning and AI technologies to improve financial decision-making and model strategy, collaborating with engineers and researchers.

The Senior Product Manager for eBay Live will lead product strategy and execution in a fast-paced environment, delivering high-impact features and developing a roadmap aligned with eBay's goals. This role involves driving the full product lifecycle and collaborating across various teams to enhance the live commerce experience.

This PhD internship focuses on data science with responsibilities including designing models, integrating data sources, and supporting machine learning projects. Interns will work closely with their teams, receive mentorship, and may transition to full-time roles post-internship.

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 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 AI initiatives to enhance business growth, manage product roadmaps, and collaborate with cross-functional teams on product development.

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 Sr. Staff Software Engineer, Automation will develop tools for automating reliability testing and analysis, collaborating with various teams to optimize workflows and improve product reliability.

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.

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

The role involves designing and developing data applications, working with large data sets, and requires expertise with various data processing technologies. Candidates should have strong analytical skills and experience in prototyping software applications.