Data Science Jobs in Santa Clara, CA

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will lead the strategy for vertical ads products, develop ML models, and mentor team members. Collaboration with cross-functional teams is key to optimizing ad experiences.

Lead the product vision and execution for AI solutions, manage the product lifecycle, and heavily engage with customers to innovate solutions.

The role involves leading a Consumer Insights team, managing research projects, and delivering actionable insights for Netflix's content studio. Responsibilities include collaborating with cross-functional teams, identifying innovations, and influencing strategic decisions based on data-driven research.

The Account Executive will drive new business and expand existing customer relationships by leveraging expertise in technical solutions and enterprise sales strategies. Responsibilities include prospecting, developing, and closing sales opportunities, achieving sales quotas, and collaborating with cross-functional teams.

The Senior Data Scientist will leverage data to identify investment opportunities, optimize portfolio performance, and implement analytical tools across teams.

Analyze data to identify investment opportunities and support due diligence. Collaborate across teams to implement insights for investment decisions.

The Director of Data Science leads the data science team, driving innovation, managing projects, and collaborating with leadership to enhance healthcare claims processing.

Develop and architect solutions using Palantir Foundry and AIP, support team collaboration, and create deployable frameworks tailored to client needs.

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.

As a Marketing Science Associate Analyst, you'll automate processes with SQL and Python, analyze data documentation, and collaborate with teams to enhance data management and analytics.

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.

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.