Top Data Science Jobs

As a Sr. Data Scientist, you will utilize interdisciplinary approaches to extract meaning from large datasets, develop data models, and communicate findings while collaborating with teams to address complex analytic questions. You will also be responsible for translating technical requirements and making informed recommendations regarding technical solutions.

As a Lead Data Scientist, you will manage end-to-end analytical projects, transform raw data into insights, conduct statistical analysis and machine learning for marketing-related questions, design Tableau dashboards, and enhance analytical processes across the organization.

As a Computer Scientist at BCC, you will design and develop software applications for creating 3D immersive environments and virtual reality applications to enhance healthcare experiences. Responsibilities include collaborating on software management and development, maintaining existing environments, data extraction, and troubleshooting VR/AR technologies.

The Senior Analyst/Programmer will perform systems analysis, design, and coding while collaborating effectively with team members. The role demands expertise in developing criminal justice applications and entails responsibilities in communicating with both analysts and programmers.

The Data Science Developer analyzes large datasets, develops machine learning algorithms, collaborates with medical professionals and software engineers, designs software tools for medical image processing, implements deep learning architectures, and ensures compliance with regulatory standards.

The Bioengineering Scientist will lead research activities focused on fermentation and process development. Responsibilities include developing production processes, supervising research staff, and performing DNA engineering activities. A PhD in life sciences and a strong publication record are required.

Join Coupang as a Staff Data Scientist and work on cutting-edge technology in AI, ML, NLP, LLM, and more. Develop statistical models, train foundational models, define processes, and build AI pipelines. Collaborate with teams to align with the company's AI strategy.