Data Science Jobs in Santa Clara, CA

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

Lead and mentor a data science team, driving strategic initiatives in the crypto space through data-driven insights and collaboration with cross-functional teams.

Join the Merchant Data Platform to build ML-ready datasets and collaborate on GenAI-driven merchant data enrichment while addressing complex data engineering challenges.

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 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.

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 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 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.

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.

The Senior Data Scientist will develop machine learning models to enhance site personalization and support data-driven solutions, collaborating with cross-functional teams.

Lead a diverse team in data science and analytics, optimizing the Netflix streaming product by scaling analytics and applying methodologies for business impact.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

Perform data analysis, build statistical models, and manage machine learning pipelines for product experiments, focusing on large datasets.

As a Data Science Intern, you will design machine learning algorithms, analyze data trends, create visualizations, and collaborate with cross-functional teams to optimize performance.

As a Data Science Intern, you'll work on machine learning algorithms, tackling complex datasets and collaborating with experts to deliver enterprise AI applications.

Build and train AI platforms as part of the ML/Data Science team, collaborating with a diverse group to develop machine learning applications.

The Research Engineer is responsible for improving data quality, designing pipelines, implementing evaluation frameworks, and researching data improvement techniques.