Top Hybrid Data Science Jobs

Looking for a Data Science Lead to build data-driven analytics solutions for business processes in areas like customer loyalty and operations. Responsibilities include the development of AI/ML solutions, analytical roadmaps, scalable data science methodologies, and enhancing organizational data competencies.

The Senior Scientist will lead the development and execution of peptide quantitative assays from discovery to preclinical studies, utilizing LC-MS techniques. Responsibilities include method development, writing reports and SOPs, and managing cross-functional collaboration. The role involves ensuring compliance with regulatory standards and may require acting as a subject matter expert for external interactions.

The Coffee Scientist will lead R&D initiatives focusing on coffee extraction processes, collaborating with Engineering and Operations to enhance production efficiency and product quality through experimentation and process improvement. Responsibilities include data analysis, project management, industry trend engagement, and cross-functional teamwork to streamline processes.