Data Science Jobs in Sunnyvale, CA

The Staff Product Manager will lead the development of Liftoff’s Supply-Side Platform by enhancing auction dynamics and integrating machine learning solutions while ensuring cross-functional collaboration and effective stakeholder communication.

Define the vision and roadmap for Snap's Advanced Ads Measurement, focusing on Conversion Lift while collaborating with various teams and driving product execution.

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 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 the development of Graph database and Reinforcement Learning capabilities, mentor a high-performing team, and drive AI product innovations at Mastercard.

The intern will manage daily operations, coordinate maintenance, execute event setups, and enhance process documentation to improve efficiency and employee experience.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

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.

The Product Manager will drive the vision and strategy for media planning and order workflow systems, working cross-functionally to ensure successful ad tech implementations and integration.

Responsible for defining recommendations strategy, building personalization platform, collaborating with teams, and monitoring performance metrics.

The role involves leading AI and Data Science initiatives, managing project delivery, and ensuring stakeholder alignment to derive business value.

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

As the Director of Ecommerce Product Management, drive the Browse and Discover journey, develop product strategies, lead a team, and enhance the customer experience to drive growth in conversion and engagement.

The Global Director of Clinical Insights Development will lead teams to drive patient-centric innovation using AI and data analytics while collaborating with various stakeholders to enhance heart failure management.

Design, test, and build infrastructure for ML Ops lifecycle in the insurance industry. Develop and deploy AI and ML solutions affecting billions in transactions.

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 Product Manager, lead the development of AI tools for healthcare, collaborating with cross-functional teams to improve care delivery.

Lead the development of AI-driven analytics applications, collaborate on data insights, mentor juniors, and ensure model performance in a fast-paced environment.

As an Applied Scientist II, you will work with cross-functional teams on projects that optimize software systems and improve ML components, while analyzing inefficiencies and proposing solutions.

Lead the product vision and execution for AI solutions, manage the product lifecycle, and heavily engage with customers to innovate solutions.

The Senior Director of Engineering will lead the Capacity, Performance & Efficiency organization, driving strategies for cloud resource management and efficiency across multiple environments, while scaling and mentoring a global engineering team.

Develop and architect solutions using Palantir Foundry and AIP, support team collaboration, and create deployable frameworks tailored to client needs.

The Senior Data Scientist will leverage data to identify investment opportunities, optimize portfolio performance, and implement analytical tools across teams.

Analyze data to identify investment opportunities and support due diligence. Collaborate across teams to implement insights for investment decisions.