Open jobs in Singapore: on-site, hybrid and remote.
12 jobs found · Singapore
Singapore, SingaporeAsia-Pacific
The data you will build pipelines for is not transactional data or clickstream data. You will develop rare expertise in ML-ready scientific data pipelines that very few…
We are looking for a Senior Staff Data Center Operations Engineer to join our team.
Remote - SingaporeAsia-Pacific
You'll own the physical security program for APAC offices, critical facilities, and data centers, partnering with business leaders and cross-functional teams to manage…
Singapore (Hybrid)Asia-Pacific
We are looking for an M&A Integration Analyst to support the M&A Director primarily on post-merger integration and cross-functional project coordination.
Singapore, SingaporeAsia-Pacific
As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to…
Singapore (Hybrid)Asia-Pacific
We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks…
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet
We are looking for a proactive and dependable Office Administrator who will serve as the first point of contact for our office and support daily operational needs.
Singapore-Guoco MidtownAsia-Pacific
Mandarin
Support acquisition and operations decisions with data; responsible for growth attribution, retention / LTV modeling and ad monetization analysis. The analytical core…
Remote - SingaporeAsia-Pacific
As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield…
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet