Top Data Science Jobs in Santa Cruz, CA

Seeking a Senior Data Scientist to guide analytics for Yahoo Games, focusing on player behavior and product strategies. Responsibilities include audience analysis, KPI definition, and collaboration with product teams to enhance game experiences.

As a Senior Data Scientist, you will lead advanced analytics product implementations, collaborate with teams to analyze blockchain data, and develop models to combat financial crime.

The Principal Data Scientist will lead the Ads Data Science team at Reddit, optimizing advertising strategies through advanced statistical methods and machine learning, while collaborating with multiple teams to influence key business decisions.

The Senior Data Scientist will translate autonomous vehicle data into insights, develop KPIs, and apply machine learning techniques for analysis and strategic decision-making.

The Sr. Cloud Engineer will develop and manage data pipelines, optimize cloud infrastructure, and collaborate with teams to implement new features, focusing on real-time machine learning and secure data storage solutions.

The Senior Data Scientist leads data science and machine learning projects on Microsoft Azure, mentors team members, drives innovation, and enhances client relationships while implementing advanced analytics solutions and MLOps best practices.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.