Data Science Jobs in Berkeley, CA

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

Lead the Appeal Operations team to manage the Denylist appeal program, leveraging fraud expertise to drive efficiency and collaborate with cross-functional teams.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

Guide development and execution of Tanium's SecOps portfolio, driving AI agent innovation and product strategy from ideation to launch in enterprise environments.

The role involves leading a team to develop in silico components for a drug discovery platform, combining data science, cheminformatics, and software engineering to optimize performance and drive execution in a startup environment.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

The Director, Global Tracking will manage client relationships, lead projects, and mentor staff while conducting market research and data analysis to drive business decisions.

The Associate Director, Global Tracking manages client relationships, leads project activities, mentors team members, and ensures the successful analysis and reporting of data.

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 Senior Account Executive will leverage technical expertise to drive revenue growth, build partnerships, and represent technology in the engineering sector.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

The Data Science Manager will oversee data science teams, shape analytical frameworks, and guide technical direction for analytics projects while collaborating with stakeholders.