Top Data & Analytics Jobs
The Procurement Analyst will conduct market research to identify suppliers, support contract negotiations, create presentations for sourcing strategies, collaborate with teams, and improve sourcing processes, while providing reports on supplier performance and project management.
The Scientist I in Analytical Development will perform routine analytical tests and develop analytical methods for AAV-based gene therapy products. Responsibilities include method development, assay validation, data analysis, and collaboration with cross-functional teams. The candidate will also draft technical documents and present findings at meetings.
The Data Operations Engineer assists in providing 24/7 support for internal and external customers, oversees data center operations, manages hardware repairs and installations, and coordinates projects related to data center performance and capacity management.
Featured Jobs
The Sr. Principal Research Scientist develops novel laser products and technologies, focusing on new laser designs, performance characterization, project management, and intellectual property documentation, working independently and in a team within a fast-paced R&D environment.
As a Data Engineer, you will optimize data architecture, ensure data accuracy, and build scalable solutions. Your responsibilities include managing data feeds, developing ETL workflows, and working with BI reporting tools like Domo, Power BI, and SSRS.
As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.
As a Scientist in Human-Computer Interaction, you will develop innovative tools and interfaces to enhance user interaction with technology. Your role involves researching user needs, creating prototypes, directing technical work, and collaborating across disciplines. Your expertise will guide the team in exploring areas like augmented reality, human-robot interaction, and decision-support systems while contributing to technical proposals and publications.
The Sr. Software Engineer will develop and maintain data and analytics solutions for Paze, focusing on building data engineering solutions for batch and stream processing, as well as advanced analytic solutions using BI and ML tools. Responsibilities include collaborating with teams, ensuring quality and performance, and troubleshooting production issues.
The Operations Master Data Specialist is responsible for the maintenance and governance of master data, supporting various operational areas including manufacturing and supply chain management. This role involves collaborating with stakeholders, improving data practices, managing projects related to product launches, and utilizing SAP functionalities to enhance efficiency.
The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.
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