Data Science Jobs in Santa Clara, CA

The role involves leading data science initiatives, building machine learning models, conducting experiments, and collaborating with teams to enhance customer experiences and business outcomes.

Maintain and improve analytics solutions and financial/marketing models (primarily in Excel); perform ETL/data wrangling; analyze market and business data; communicate concise insights to stakeholders; drive data-informed strategic decisions and build production-ready data products or pipelines.

The Principal Product Manager for Billing defines product strategy and roadmap, ensuring efficient billing capabilities and compliance while collaborating with cross-functional teams to deliver scalable solutions.

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.

The Product Development Engineer drives testability and manufacturability of circuits, performs yield analysis using data science techniques, and interfaces with various engineering teams to optimize silicon yield and quality.

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

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.

Support the View Item product by defining metrics, running experiments, and applying statistical and machine learning methods to inform roadmap decisions. Design and analyze A/B tests, build predictive and experimental models, translate insights into product recommendations, and partner with Product, Engineering, and business stakeholders to improve buyer and seller outcomes at scale.

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.

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

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

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.