Data Science Jobs in Berkeley, CA

The Associate Sales Lead will work with Loka's Sales Leads to nurture client relationships, assist in sales processes, and collaborate with engineering teams to deliver solutions.

The Product Management Director, Common Services AI will drive AI innovations, managing product strategy, team collaboration, and AI development to enhance Salesforce's offerings.

The Product Manager will shape the outfitting platform, integrate AI capabilities, and define strategies to enhance client personalization and experience.

The Discovery Research Domain Expert will bridge scientific teams and IT, translating complex needs into actionable requirements while enhancing data usability for drug discovery.

As a Staff Product Manager, you will drive product strategy and launch new personalized experiences across Pinterest's high-traffic surfaces while collaborating with engineering, data science, and design teams.

The role involves leading global projects, enhancing personalization, and integrating AI and automation in digital commerce. Mentoring analysts and influencing decisions with data-driven insights are key responsibilities.

As a Product Manager for the Consumer team, you'll enhance user engagement through data-driven product strategies, cross-functional collaboration, and experimentation.

The Technical Recruiter will develop sourcing strategies, lead recruitment processes, and build relationships to attract engineering talent for Factory's growth.

Design, test, and build infrastructure for ML Ops lifecycle in the insurance industry. Develop and deploy AI and ML solutions affecting billions in transactions.

Lead and mentor a team of Data Scientists to enhance viewer experience, improve algorithms, and deliver data insights. Collaborate across teams for product strategy and analytics studies.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

The role involves leading change management in AI transformation projects, specifically using Palantir. The candidate will develop strategies, assess readiness, manage communication and training, and work with stakeholders to ensure successful implementation.

Lead the vision and strategy for identity verification and monitoring products, ensuring effective fraud prevention and compliance across financial services.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

The Enterprise Account Executive will drive sales cycles, engage C-level executives, and collaborate with teams to promote the CXAI platform, focusing on enterprise accounts.

The role involves driving user growth and revenue for Gemini through product management, AI integration, experimentation, and cross-functional collaboration.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

The Head of Data Science will manage and grow a team of data scientists, mentor team members in modeling, and collaborate with product and engineering teams for data-driven solutions.

The Senior Product Manager will drive product innovation and strategy, focusing on mobile experiences and AI solutions while collaborating with various teams to enhance customer engagement.

The Product Manager will lead initiatives for Visa's consumer products portfolio, driving product strategy, collaborating across teams, and ensuring compliance while developing new products.

The Senior Product Manager will lead product strategy and ownership of data-driven features, ensuring statistical rigor and user-friendly designs for AI tools.

As an Account Executive, you'll prospect and close business, meet sales quotas, and develop enterprise relationships while collaborating with cross-functional teams.

The Data Science Director for Growth will lead a team to drive user and revenue growth through advanced analytics, AI, and experimentation.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

This PhD internship focuses on data science with responsibilities including designing models, integrating data sources, and supporting machine learning projects. Interns will work closely with their teams, receive mentorship, and may transition to full-time roles post-internship.