Open jobs in United States: on-site, hybrid and remote.
10 jobs found · United States
Remote · San FranciscoNorth America
We’re looking for a Data Scientist, Analytics Enablement to turn complex financial and business questions into reliable data products, clear analyses, and actionable…
United States, UNITED STATES, United StatesNorth America
The Data Protection team secures Experian’s data through encryption, key management, and certificate services across on-premises systems and the cloud. You will report…
Remote · United States, UNITED STATES, United StatesNorth America
The Director of Analytics is the product leader for Experian Health's datamart, analytical tooling, AI-ready data governance, and data commercialization.
As a Data Center Controls Engineer, you will program, configure, integrate, and commission the controls systems that support high-density AI data centers. We are seeking…
Remote, United StatesNorth America
As a Data Scientist at GitLab on the Enterprise Analytics team, you’ll be a trusted analytical partner to Sales, Revenue Operations, and Finance, helping define how we…
Remote, United StatesNorth America
As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data…
Palo Alto, California, United States; San Francisco, California, United StatesNorth America
The Marketplace Operations Lead takes on the hardest of those requests: US-based roles, role types we've never hired for before, and large, urgent hiring pushes where a…
Remote · United States, UNITED STATES, United StatesNorth America
We're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate…
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.