Top Data & Analytics Jobs

The Data Analytics Engineer will design and implement datasets, optimize SQL queries for performance, ensure data integrity, maintain documentation, and support data strategy across the organization. The role involves collaboration with stakeholders to provide accurate data solutions and continuous improvement of data infrastructure.

The Senior Scientist will focus on optimizing biopharmaceutical production through cell culture, purification, and molecular biology techniques. Responsibilities include conducting laboratory experiments, project planning, and developing innovative product applications in collaboration with R&D teams.

The Data Scientist will support US Sales Operations by utilizing advanced analytical techniques to create data models and visualizations. This role involves leveraging structured and unstructured data to identify trends, make forecasts, and provide insights to enhance sales performance. Responsibilities include developing dashboards, driving initiatives related to big data analytics, and collaborating with various business units.

As a Data Engineer on the Research Tools team at Anthropic, you will improve algorithms and infrastructure used for training AI models, focusing on performance and usability. You'll work on high-performance systems that enhance productivity for researchers and engage in projects related to fine-tuning large language models and optimizing training processes.

As a Data Scientist at HireVue, you will develop innovative algorithms and models to enhance the hiring process, analyze complex datasets, create success metrics for new products, and design experiments to drive the future of hiring technology. You'll collaborate closely with a psychology team to drive data-driven insights.

As a Senior Data Scientist II at Shipt, you will focus on data science aspects of bundling, coverage, and simulations. You will lead simulation initiatives, develop modeling methods, and work on experimentation designs while building analytical tools to support data-driven decision-making.

The Lead Data Engineer will transform complex data into insights for business decisions, collaborate with cross-functional teams, design statistical models, and implement enterprise data solutions. Key responsibilities include data analysis, building predictive models, recommending technologies, and mentoring software engineers.