Top Data Science Jobs in Santa Cruz, CA

As a Data Scientist II at Valo Health, you will work within a team to develop computational models and machine learning tools to enhance drug discovery processes. Responsibilities include data capture, analysis, visualization, and experimental design, along with the development of predictive models related to tissue engineering for drug candidates.

The Research Associate will work on data collection for an AI startup, conducting data analysis, providing feedback on AI performance, and learning new software skills. Responsibilities include executing use cases, documenting failures, and collaborating in a fast-paced environment.

As a Senior Data Scientist at TRM, you will enhance blockchain attribution efforts by developing solutions and collaborating with data experts. Your role includes reviewing existing attribution methods, maintaining intelligence accuracy, custom coding, and supporting client research requests.

The Manager in Marketing Analytics & Data Science will lead analytics projects, manage client relationships at an executive level, and guide a team of data scientists. Responsibilities include strategic consulting for clients, team development, and contributing to the company's growth initiatives through leadership and project management.

The Senior Data Scientist will analyze large-scale data problems to influence business decisions and enhance product performance across various teams. Responsibilities include developing statistical analyses, machine learning models, and creating actionable dashboards while mentoring others in data science best practices.

The Data Scientist will work on real-world evidence studies, developing systems to enhance data quality and usability, while collaborating cross-functionally to drive product development. This role involves technical expertise to optimize product requirements and leverage AI and statistical methods to support data-driven decision-making for biopharma clients.

As a Sr. Data Scientist, you will analyze large complex datasets, build analysis pipelines, develop machine learning models, and collaborate with engineers to create solutions for ViFiVE’s digital health products, all while presenting findings to stakeholders.