Top Hybrid Data Science Jobs

The Senior Manager of Data Science & Analytics will develop a marketing analytics strategy, collaborate with teams, and deliver insights for client acquisition and campaign optimization.

The Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.

The Data Scientist will analyze complex datasets, build predictive models, collaborate with stakeholders, and present insights for business decisions.

As a Data Scientist II, you'll manipulate data, build and refine machine learning models, present findings, and collaborate with cross-functional teams to drive business solutions.

As a Mid-Level Data Scientist, you'll develop and optimize AI and ML models, collaborate with teams on applications, and implement pipelines for model evaluation and fine-tuning.

As a Senior Data Scientist in Fraud Risk, you'll develop metrics, real-time monitoring systems, and implement predictive machine learning models to mitigate fraud while balancing customer experience.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

The Director of Data Science leads strategic data-driven insights for Commercial teams, manages Data Scientists, develops AI/ML models, and collaborates across analytics teams to enhance brand strategies through data analysis.

The Lead Data Scientist at Caterpillar leads data and analytics solutions, directs team projects, conducts data preparation, and supports AI initiatives.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.