Data Science Jobs in Berkeley, CA

The Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

The Principal Data Scientist will analyze data, develop predictive models, and apply AI/ML to enhance healthcare quality and outcomes.

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

The Director of Data Science will lead analytics delivery, innovate solutions, and collaborate with clients to align analytics with business goals.

The Head, Innovation Accelerator Data Science leads technical projects in data science, ensuring adherence to best practices and innovation roadmap alignment. This role involves team leadership, technical execution, and collaboration with cross-functional partners.

The Research Scientist/Engineer will develop techniques to enhance truthfulness in AI language models, focusing on accuracy and minimizing hallucinations through various methodologies.

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.

Lead and expand the Data Science team, innovate data solutions, set priorities, define metrics, and enhance data quality for strategic decisions.

Lead and build the Data Science team, innovate business intelligence solutions, collaborate with various teams, and impact strategic decisions.

This program offers recent graduates a rotation-based experience in various aspects of gaming publishing, focusing on analytical and commercial skills development over 21 months, starting in July 2026.

Manage a 6-person Data Science team focused on ensuring safety on the platform, while improving processes and stakeholder management. Collaborate with cross-functional teams and provide strategic insights for safety initiatives.

The internship involves contributing to Pinterest's product roadmap using data analysis, implementing core metrics, and collaborating with cross-functional teams to drive product innovation.

Lead and mentor a team of data scientists to drive analytics for Core Product, shaping strategies and designing experiments to measure product impact.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.

The Senior Manager will lead the Risk & Safety Data Science team, aligning data strategy with company goals, overseeing project development, and managing a team of data scientists to improve autonomous vehicle safety.

Lead the technical execution of data science and ML projects, mentor teams, design architecture for AI platforms, ensure scalability and reliability.

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.

As a Data Science Intern, you will collaborate with teams to analyze data, build models, and provide insights that guide decisions at Figma.

As a Data Analyst at Samba TV, you will extract and analyze data, perform statistical analyses, visualize data, and improve workflows using AI. You'll support Measurement Science teams and manage JIRA ticketing processes.

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.

The Director of Data Science will lead data initiatives, mentor teams, and leverage advanced analytics to drive business insights for partners. Responsibilities include implementing machine learning models, data governance, and fostering innovation in data solutions.

Interns will work on digital transformation projects, develop data models, implement machine learning strategies, and collaborate with clients while gaining valuable experience.

Lead and mentor a high-performing data science team, define the data science roadmap, develop algorithms, and drive innovations for Lyft's business products.