Data Science Jobs in Santa Clara, CA

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.

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.

Lead and grow a homeowners insurance modeling team to build by-peril loss models, demand and retention analyses, and weather/catastrophe models. Develop reusable Python/SQL tooling and implement models in an Airflow-based pipeline, partnering with Pricing, Underwriting, Claims, Product, and Data Engineering to deploy and translate insights into business recommendations.

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 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.

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