Data Science Jobs in Fremont, CA

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

The Senior Scientist will lead research projects for biopharma partners, integrating data analysis and providing insights to support drug development decisions.

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

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 the strategy and execution of AI-driven shopping experiences, focusing on agentic AI. Collaborate cross-functionally to enhance user experiences and leverage AI technology for business growth.

Lead AI initiatives to enhance business growth, manage product roadmaps, and collaborate with cross-functional teams on product development.

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.

Contributes to data analysis and model building, supports research and visualizes data insights. Collaborates as a team member to enhance client's metadata and solutions.

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

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.

Drive data-driven decisions for user growth in Discovery Experiences, develop ML solutions, and partner with Product and Engineering for innovations.

As a Senior Data Scientist, you'll optimize matchmaking algorithms, define performance metrics, and collaborate on system efficiency improvements, focusing on large-scale user connections.

As an AI Applications and Data Science Engineer, you will develop AI applications, predictive models, NLP chatbots, and data automation solutions, enhancing user experiences and optimizing data processes.

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 will design machine learning algorithms, analyze data trends, create visualizations, and collaborate with cross-functional teams to optimize performance.

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

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 Engineer at Adobe, you will analyze data, develop machine learning models, and provide insights to drive business decisions in the B2B segment. Responsibilities include enhancing M/L models, implementing dashboards, and discovering opportunities for growth.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.