Top Hybrid Data Science Jobs

The Principal Data Engineer will architect and lead the development of a Multi-Agent ETL Platform, modernize data platforms, implement data pipelines, and drive innovation with AI integrations.

As a Senior Data Scientist, you will analyze healthcare data, develop models, collaborate on solutions, and communicate findings to stakeholders.

The Senior Customer Data Scientist will partner with customers to enhance their experimentation capabilities, guide statistical designs, and support analytical needs, ensuring effective adoption of Datadog's tools.

Lead a Data Science team focused on trust and safety initiatives, drive strategic recommendations, mentor staff, and collaborate cross-functionally.

The Data Scientist will analyze customer data, build performance metrics, drive product improvements, and partner with diverse teams to ensure reliable fraud detection systems.

The Data Scientist manages and analyzes data, develops predictive systems, collaborates with teams to create analytics tools, and supports clients' mission-critical needs through statistical analyses and data manipulation.

The Data Science Intern will work on improving ad-tech systems and conducting deep-dive analyses to optimize bidding strategies, while designing experiments and providing insights for product decisions.

The RevOps Data Scientist will enhance data operations, improve analytical frameworks, and scale machine learning models to support business growth while collaborating across teams.

As a Data Scientist II, you will drive data-informed decision-making by analyzing user behavior, running experiments, and delivering insights to optimize growth strategies for Tinder's product and marketing initiatives.

As a Senior Data Scientist, you will develop and optimize machine learning models, design predictive models, collaborate with teams, and monitor AI/ML models.