Data Science Jobs in Sunnyvale, CA

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

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.

The Sr. Product Manager will lead Tinder's recommendation system integration across various product surfaces, manage cross-functional collaboration, and enhance personalization processes and feedback loops.

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

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

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 and mentor a team to enhance content viewer experience, improve algorithms, and increase content quality, while conducting data analysis and driving actionable insights.

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.

The Director of Data Science leads the data science team, driving innovation, managing projects, and collaborating with leadership to enhance healthcare claims processing.

The Market Intelligence Manager will drive strategic analysis, support CEO initiatives, and deliver business insights by analyzing market data and trends.

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

Intern will contribute to data science and analytics projects, developing data pipelines, supporting AI/ML use cases, and creating visualizations while gaining real-world experience.

As an intern at Gilead, you will support the execution of quality performance projects and contribute to data science workflows, including machine learning solutions. You will work with structured and unstructured data, contributing to quality operations and presenting your findings.

Responsible for leading the Structural Characterization team, overseeing analytical development for biologics, regulatory filings, and ensuring successful commercialization of products through collaboration with various departments.