Data Science Jobs in Sunnyvale, CA

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.

Lead Internal Audit for Bitstamp USA, executing audits across Operations, Compliance, and Technology, supporting risk management and regulatory compliance efforts.

Lead the development of predictive models and analytics for eBay's Global Collectibles Product, collaborating with stakeholders to drive data-driven insights and influence strategic decisions.

The Lead Product Marketing Manager will drive messaging, support sales efforts, collaborate with teams, and engage customers for the C3 Agentic AI Platform.

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

Assist in data analysis, develop APIs for data processing, and create data visualization dashboards as part of the CDS group.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

The role involves delivering data-driven insights to improve customer experience, leading a team for product strategy, and managing data analysis projects including A/B testing and ML models.

The Director of Data Science & Engineering will lead a multidisciplinary team to build data systems, develop predictive models, and drive data-driven decision making for Adobe's products.

The Data Science Intern will work on improving ad-tech systems and conducting deep-dive analyses to optimize bidding strategies, while designing experiments and providing insights for product decisions.

As a Data Science and Machine Learning Software Engineer at NetApp, you will develop algorithms for real-time personalized search and recommendation using IoT data, while working on cloud-based services and analytics.

As an intern, you will work on NLP models, biomedical knowledge graphs, and generative AI applications while collaborating with the AI/ML team at Gilead.

As an intern, assist in backend code maintenance, develop FastAPI endpoints, integrate AWS services, and contribute to unit testing while gaining real-world experience in clinical data science.

Lead data science and analytics efforts at eBay, focusing on performance marketing optimization, AI and analytics product development, and mentoring junior staff. Collaborate with cross-functional teams to drive data-driven insights and improve customer experiences.

Lead and inspire a team in sophisticated data analyses, providing strategic insights to improve performance and customer experience while collaborating on AI-driven applications.

Perform data operations, analyze large datasets, develop reports, and optimize marketing strategies using advanced data techniques and tools.

As a Data Science Analyst, you will design A/B tests, analyze data, create dashboards in Tableau, and support product metrics development.

As a Data Science Engineer at Adobe, you will analyze data, develop machine learning models, and provide insights to drive business decisions in the B2B segment. Responsibilities include enhancing M/L models, implementing dashboards, and discovering opportunities for growth.

The role involves leading marketing initiatives for data science products, creating technical content, conducting competitive analysis, and engaging with the data science community.

The intern will support data center supply chain projects, applying machine learning and optimization techniques to improve inventory management and part allocation.

The VP of Data Science & Analytics will lead data strategy, build a high-performing team, define KPIs, and drive business outcomes through data insights and collaboration across departments.

Lead and mentor a team of data scientists to drive analytics for Core Product, shaping strategies and designing experiments to measure product impact.

Manage a 6-person Data Science team focused on ensuring safety on the platform, while improving processes and stakeholder management. Collaborate with cross-functional teams and provide strategic insights for safety initiatives.

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.

Interns will analyze large datasets, develop tools for simulation data, and adapt ML models for synthetic scene rendering and data generation.