Top Data Science Jobs in Seattle, WA

The Principal Data Scientist will lead the development of predictive models to enhance revenue expansion and reduce churn for Magnify's customers. This involves leveraging various datasets, innovating around data science methodologies, and collaborating with engineering to build reliable data science pipelines.

As a Senior Data Scientist in Product Analytics, you will analyze customer data to enhance product performance, implement machine learning models, and communicate insights to stakeholders. You'll collaborate with cross-functional teams to design experiments and develop metrics to monitor product success while mentoring junior team members.

Join Brex's Revenue Operations team to drive revenue growth through analytics, reporting, and process improvements. You'll create dashboards, analyze business challenges, collaborate with revenue leaders, and manage revenue tools. Strong analytical and problem-solving skills, along with experience in revenue operations, are essential for success.

As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.

As a Scientist at Regeneron, you will support the automation pipeline for CAR-T and TCR binder optimization. Responsibilities include designing CAR/TCR constructs, performing immunological assays, troubleshooting automated instruments, and maintaining tumor cell lines. A strong background in cell culture and experience with Hamilton liquid handlers are essential.

As a Research Scientist, you'll conduct research to enhance productivity and the discovery experience for scientists, develop AI tools, collaborate with researchers, mentor early-career scientists, and publish your findings.

As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.