Top Data Science Jobs

The Sr. Data Scientist will develop, implement, and optimize machine learning and generative AI models, focusing on healthcare applications. Responsibilities include model value analysis, data strategy development, data preparation, and production deployment of AI solutions, while mentoring junior data scientists.

This role involves conducting research in AI applied to autonomous driving, focusing on reinforcement learning and model-based algorithms. Responsibilities include developing advanced models and learning algorithms, leveraging real-world driving data, and contributing to academic publications. You'll be part of a team that works on complex challenges in perception, prediction, planning, and control for vehicle navigation.

As an AI Researcher at Labelbox, you'll develop advanced systems that utilize human feedback like RLHF to enhance AI training processes. Your work includes measuring data quality and creating AI-assisted tools to improve labeling efficiency, pushing AI capabilities to new heights.

The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.

The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.

The Data Scientist at Mimecast will develop and optimize machine learning models, collaborate with stakeholders to create AI tools, and provide actionable insights to enhance data-driven decision-making. Responsibilities include cross-functional teamwork, presenting findings, and driving analytics maturity within the organization.