Data Science Jobs in Santa Clara, CA

Lead the NG-SIEM serverless platform engineering team, responsible for building global systems, ensuring operational excellence, managing teams, and driving innovation in security data management.

The Senior Director of Engineering leads engineering strategy, mentors teams, oversees project delivery, collaborates with stakeholders, and champions best practices for operational excellence.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Program Manager will champion AI and automation within a regulatory framework, identify opportunities for efficiency, manage a roadmap of initiatives, and enhance program management tools while collaborating with various teams.

The Group Product Manager for AV Capabilities at GM leads the strategy and roadmap for autonomy products, managing a team while collaborating cross-functionally to ensure quality delivery and innovation.

The Senior Product Manager for Evaluation Applications will define and implement strategies for a testing platform, ensuring cohesive workflows. This role requires strong technical leadership, stakeholder alignment, and a focus on data-driven insights for autonomous vehicle evaluation.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

As a Manager in Data Science, you'll lead the development of machine learning models, partner with engineering and product teams, and analyze large datasets to enhance customer experiences and prevent fraud.

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.

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

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

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 Regulatory Affairs Manager at Roche oversees regulatory submissions, develops global strategies, and manages stakeholder relationships to ensure compliance and accelerate product approvals in diagnostics.

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

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

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 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 SAP Master Data Architect, you will manage and innovate SAP product master data structure, support end-to-end implementations, and ensure data quality and governance, collaborating with teams across the organization.

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

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