Top Hybrid Data Science Jobs

The Data Scientist III will enhance cybersecurity operations using data science and machine learning techniques, developing analytical models, and integrating data from various sources to improve threat detection and monitoring.

Lead tailored analytics strategies for marketing, manage the analytics team, innovate data standards, and communicate findings to senior stakeholders.

The Data Scientist at Tempo will develop insights from blockchain data to improve payment systems, collaborate on metrics and infrastructure, and provide analytical guidance.

As Lead Data Scientist, you will define data strategy, build AI-powered tools, drive product analytics, and scale systems to support company growth.

Develop and deploy data solutions, collaborate on model optimization, communicate findings, and write scalable code in a data science context.

The Data Scientist will develop agent-based workflows and AI features for CAS products, emphasizing software development and collaboration with teams.

Lead the data strategy and analytics for Hinge Health's treatment experiences and hybrid care offering. Manage a team of Data Scientists, oversee data quality, and develop experimentation frameworks.

The Data Scientist will build AI-driven fraud and risk systems, work with real-world data, and leverage graph techniques to improve detection and labeling. They will partner with engineering to scale data systems in the compliance domain.

Lead and grow a team of data scientists, focusing on product strategy and data quality. Collaborate across departments to drive data-driven insights.

The Manager of Data Science guides data science analysts, optimizes marketing and operational efficiency through data analysis, and implements machine learning models in production.