Top Data & Analytics Jobs

The Data Scientist role involves partnering with Product Engineering teams to improve live streaming content discovery and product listings. Responsibilities include developing KPIs, creating dashboards, analyzing marketplace trends, and guiding experimentation practices to influence feature rollouts.

The Applied AI Scientist will develop advanced algorithms for solving high-dimensional problems, execute statistical and data mining techniques on large data sets, evaluate emerging datasets for analytics, and contribute to thought leadership. They will also focus on feature engineering from varied data sources and expertise in machine learning algorithms.

The Manager, Data Management Operations will oversee the Supplier Management function, ensuring cohesive and efficient operations and administration. Responsibilities include compliance oversight, data tracking, KPIs reporting, and supporting various cross-functional projects. The role involves liaising with stakeholders globally to improve supplier performance and manage supply chain compliance.

The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.

As a Business Analyst, you will liaise between business and technical users, ensuring accurate requirements gathering and analysis, creating business requirement documents, resolving technical defects, and optimizing business processes. You'll produce high-quality consulting deliverables and engage with clients to understand their strategic direction and project goals.

The Principal Data Analytics Engineer will design and maintain data models using dbt, collaborate with analysts, implement best practices in data modeling and documentation, mentor junior team members, and work with stakeholders to support data-driven decisions. They will also manage the data warehouse and BI platforms.

The Data Scientist III (Artificial Intelligence) at Cedar will leverage data science and AI to enhance patient billing clarity and streamline healthcare workflows. This role involves developing datasets, designing AI-powered features, and improving existing models by collaborating across teams to drive business value and differentiate Cedar's offerings.