Data Science Jobs in Santa Clara, CA

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.

Lead the strategy for AI analytics products, building AI-powered workflows for performance diagnostics and insights. Collaborate with teams to enhance data-driven decision-making and product health monitoring.

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.

Lead global product strategy and lifecycle for large-scale network orchestration, telemetry, and analytics products. Define technical use cases and architecture requirements, guide cross-functional teams, engage customers and partners, and deliver scalable datacenter networking solutions aligned with NVIDIAs AI infrastructure roadmap.

Lead a team to design, build, and deploy production-grade end-to-end AI systems (generative AI, agentic intelligence, recommendation, measurement/causal inference). Drive technical strategy, mentor data science and engineering teams, and align AI roadmap with product, UX, and business stakeholders to deliver supplier-facing insights at scale.

Lead data science strategy and a rapid-prototyping team to build production-grade ML and GenAI solutions for contractor earnings, tax, and compliance. Drive model governance, automation, and cross-functional delivery to reduce errors, mitigate risk, and scale measurable ROI across product, engineering, and operations.

Design and analyze A/B experiments, perform deep-dive analysis on large transactional and user-behavior datasets, build automated ETL pipelines and reporting, create Tableau/Nous dashboards and automated emails, present findings to cross-functional teams, and drive data-informed product decisions.

Collaborate with cross-functional teams to analyze A/B test and product data using SQL and Python, perform EDA, monitor health metrics, build/maintain AutoETL pipelines and Tableau dashboards, resolve data quality issues, create visualizations and presentations, and support data-driven strategies.

As a Senior Manager of Data Science and Analytics, you will lead a team, drive strategic insights, define metrics, and ensure data-driven decision-making within eBay Live’s Trust & Safety initiatives.

Lead advanced analytics and AI initiatives in compliance, collaborating with data scientists and engineers, translating requirements, mentoring, and maintaining governance standards.

Design and build data models and pipelines to produce research-ready multi-modal surgical datasets. Drive data collection and quality frameworks, manage annotation workflows, partner with AI/ML researchers, build researcher tooling, and collaborate across clinical, robotics, and systems teams to support embodied AI research.

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.

Lead hands-on analytics and a small team to improve eBay's shipping ecosystem using advanced analytics, AI, experimentation, and predictive modeling. Build models, simulations, data pipelines, dashboards, and run A/B tests to optimize managed shipping, carrier routing, delivery performance, and label adoption. Partner with Product, Engineering, Finance, and business teams to translate insights into measurable operational and business outcomes.

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