Top Hybrid Data Science Jobs

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

Lead the Data Science team to execute complex technical initiatives, manage model development, and define strategic priorities for growth. Collaborate with cross-functional teams and maintain high standards in model validation and product delivery.

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

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

Lead development and productionization of marketing mix and channel-attribution models, build predictive models for acquisition and retention, collaborate with stakeholders and vendors to source data, provide actionable insights to influence marketing strategy, and present findings to senior leaders.

The Data Scientist will analyze data, build predictive models, and collaborate with teams to deploy data products, driving business outcomes.

The Data Scientist in Integrity will develop anti-fraud systems, collaborate with various teams, and utilize advanced models to combat abuse effectively.

The Staff Data Scientist will lead data science projects, prioritize analyses, develop metrics, and work cross-functionally to inform business decisions. Responsibilities include rigorous analysis, stakeholder communication, and developing measurement plans for initiatives.

As a Data Scientist, you'll develop machine learning models, analyze chatbot data, communicate insights, and guide junior team members.

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