Data Science Jobs in San Jose, CA

You will lead product strategy, conduct market research, support sales, manage the product roadmap, and cultivate customer relationships for a healthcare software solution.

Applied Materials is seeking interns for both technical and non-technical roles across various fields to support operations and shape future technology. Responsibilities involve learning and engaging in innovative projects.

As a Machine Learning Engineer, you'll architect, build, and deploy ML systems and services, design data pipelines, and collaborate with researchers on product initiatives.

Drive growth for Adobe Express by developing data-backed strategies, running experiments, and collaborating with cross-functional teams to enhance user retention and satisfaction.

The AI Solution Architect will drive the adoption and scaling of AI solutions, guide clients in integrating GenAI, and oversee project management from concept to deployment fulfilling client-specific needs.

Lead the development of advanced data science models, collaborating with stakeholders, ensuring data quality, and mentoring junior scientists.

The AI Solution Manager role involves leading AI solution deployment, customer engagement, and cross-functional teams to develop and deliver tailored AI applications for Fortune 500 clients.

As Product Manager, lead teams to enhance trading features, optimize services, and improve customer experience in finance.

Lead Data Science team for Subscription Revenue at Netflix, focusing on pricing strategy, mentoring, and collaboration across teams.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

The Lead Product Performance Consultant at PayPal will drive the delivery of payment solutions through strategic partnerships, manage analytics and market research, influence product roadmaps, and ensure compliance and understanding of the payments industry while working collaboratively with cross-functional teams and clients.

Lead a team of data scientists to provide data products and insights for improving campaign performance, collaborating with cross-functional stakeholders.

Interns will analyze large datasets, develop tools for simulation data, and adapt ML models for synthetic scene rendering and data generation.

The Senior Manager will define the data science strategy for the Risk & Safety sub-team, leading a team of data scientists to enhance safety in autonomous vehicles by using data insights for decision-making.

The Technical Program Manager will manage complex projects related to autonomous systems, collaborating with multiple teams and ensuring successful integration of operations technology for the Aurora Driver.

The Senior Product Marketing Manager will develop messaging for Generative AI, collaborate across teams, support sales efforts, and present insights at events.

Intern will assist the Data Science team with data preparation, modeling, and development of predictive models with mentorship. Tasks include research, data analysis, and building visualizations.

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 internal audits, assess IT controls, develop data analytics routines, and support SOX compliance, ensuring effective risk management.

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

As a Data Science Analyst, you'll enhance NPS programs, conduct deep analysis, and support strategic decision-making through advanced analytics and AI.

In this internship, you will collaborate with teams to enhance supply efficiency, build ML models, and deploy solutions for decision making.

Manage and develop a team of Data Scientists, oversee analytics efforts, guide data-driven decision-making, and communicate insights to senior leadership.