Data Science Jobs in Santa Clara, CA

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.

Join Hiring.Cafe as a Founding Machine Learning/AI Search Engineer to develop AI recommender systems and scalable infrastructure, contributing to a transformative job search engine.

Install, qualify, maintain, and optimize photolithography equipment in a semiconductor fab. Drive yield, uptime, and process stability; troubleshoot and repair tools; partner with process engineers; manage vendors and tool metrics; write purchase requisitions; implement TPM; work in a cleanroom and follow EHS and ISO quality standards.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

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.

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.

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 design and implementation of agentic AI systems to automate data-science pipelines—data elicitation, curation, experimentation, model training/evaluation, diagnostics, and benchmarks. Collaborate with software and solutions teams and integrate solutions into enterprise projects and products.

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.

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 CRM analytics to drive personalization, experimentation, and measurement. Define metrics and frameworks, partner on ML/AI models, run rigorous A/B and causal tests, build scalable data pipelines and self-service reporting, and translate insights to influence product and marketing strategies.

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.

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.