Top Senior Level Data Science Jobs

As a Senior Decision Scientist, you will lead data analytics initiatives, collaborate with cross-functional teams, develop metrics, and perform A/B testing to provide data-driven insights and recommendations for improving business strategies at Opendoor.

The Senior Data Scientist will drive collaboration across teams to analyze data for fraud risks, build machine learning models, and provide insights for risk mitigation. Responsibilities include data refinement, project prioritization, mentoring, and establishing best practices in data science.

The Staff Scientist in Biostatistics will provide strategic input for product pre-launch and post-launch activities, including developing statistical analysis plans, conducting clinical and real-world evidence studies, and reporting findings. The role involves collaboration with cross-functional teams and leading future studies related to claims databases and electronic health records.

The EDI Analyst will monitor and improve EDI systems within the IT team, focusing on supply chain processes such as procure-to-pay and order-to-cash. Responsibilities include developing EDI systems, performing quality control, maintaining documentation, and troubleshooting EDI issues.

As a Senior Product Data Scientist at Celonis, you will be responsible for building data-informed insights to support strategic decision-making, developing machine learning models, and collaborating with cross-functional teams to drive data-driven initiatives. You will also play a key role in refining data engineering processes and communicating analytical findings to stakeholders.

The Senior Data Science Analyst is responsible for managing and enhancing credit risk oversight processes, evaluating consumer credit risks, managing a team, and developing reports on credit risk appetite. The role involves collaborating with teams to mitigate risks and presenting analytical findings to management.

The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.