Top Data & Analytics Jobs

The Cryptologic Computer Scientist will design, develop, and deliver solutions for complex cryptologic problems. Responsibilities include data integrity assessment, collaboration with analytics for thorough analysis, simulation/model development, software design, and creating state-of-the-art solutions for network protection, forensics, and system evaluations.

As a Staff Data Scientist, you'll lead data research and analysis, develop and validate models for business objectives, collaborate on production-grade data products, and contribute to building a data science practice at Grid.

As a Research Scientist, you will conduct research focusing on AGI, design and implement AI algorithms and systems, collaborate with teams, and present findings.

The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.

As a Data Scientist in Trading Operations, you will be responsible for deriving insights from complex datasets, ensuring data correctness, identifying production anomalies, and automating analyses for ongoing monitoring within the Quantitative Trading Strategy team.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.

As a Senior Data Management Consultant, you will guide clients in maximizing their data assets, develop management strategies, ensure data compliance, and maintain data quality. Engage with stakeholders, communicate technical concepts, and support sales efforts related to Snowflake solutions.