Top Senior Level Data Science Jobs

The Data Scientist II role involves using quantitative analysis to optimize costs, mentor junior analysts, and contribute to projects by employing statistical methods and data management techniques.

Lead analytics and survey research for high-profile clients, manage a team of analysts, and develop data-driven strategies for decision-makers.

Lead the Machine Learning team to develop innovative ML products in the ad tech ecosystem, providing mentorship and guidance to data scientists while collaborating with cross-functional teams.

The Biostatistical Manager will lead strategic initiatives in the Biostatistics Department, aiding in product activities and real-world evidence generation.

The Machine Learning Modeler focuses on validating ML models for financial services, developing tools for scalability and governance, and ensuring compliance with regulations. Strong software engineering and communication skills are essential, alongside experience in model risk management.

The Manager, Data Science leads a team to deliver business insights through data science, guiding decision-making and developing innovative models for marketing and analytics.

The Senior Data Science Engineer will lead data science projects, develop machine learning models, collaborate with teams, mentor juniors, and communicate insights to drive data-informed decisions.