Develop new novel and state of the art AI/machine learning models to support risk strategies. Recommend data-driven, risk-based business decisions to positively impact KPIs across Trustly's payment portfolio. Conduct analysis to measure model performance, compare performance across multiple models, and influence model strategy and selection decisions.
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You will play a pivotal leadership role in shaping the long-term technical direction of our platform and data architecture, translating complex business needs into a clear architectural vision. You will act as a trusted technical advisor to senior engineering and product leaders, while guiding and influencing engineering strategy across the organization. As a hands-on technical leader, you will guide senior engineers and architects to execute on the architecture roadmap.
Looking for a Senior Data Engineer to build a rock-solid data foundation from the ground up, you'll lead data at Rarible. Build a best-in-class data stack that powers everything from internal dashboards to AI-based insights, architecting a new structure that serves internal teams and future AI use cases.
Tailscale is looking for a Director of Data to build our data engineering, analytics engineering, data analysis, and data science functions. We are looking for a leader with strong data engineering and analytics engineering experience and who has solid business acumen. This leader would help lead our data organization and design and build our data infrastructure to support data-driven decision-making.
A Head of Data Science & Machine Learning is needed to bring expertise around answering complex business questions with Data Science and operationalizing machine learning models with modern MLOps. Reporting to the VP of Data & Infrastructure and will be responsible for leading Data Science / AI teams.
Build and refine our data function with purpose and vision. As Director of Data Science and Engineering, you'll thoughtfully evolve our existing modern data infrastructure to drive strategic decision-making across the organization. This is an opportunity to make a significant impact at a growth-stage startup by translating complex data operations into actionable insights.
Convert in reality the business requirements related to our digital transformation where cloud technology is a key enabler. You will be working in the implementation of data MVPs as part of a Digital Builders Organization squad. Collaborate with Business Units to have a deep understanding of the business problem that AI and Machine Learning may solve. Provide technical expertise in the use cases execution, collaborating with IT to achieve optimal solutions.
At fabric, weβre building the future of agentic commerce. As a Principal Distributed Systems Engineer, youβll play a foundational role in designing and scaling the data platform that powers fabricβs Agentic AI platform for commerce. You will architect a modern, scalable, and cost-effective data platform using industry best practices. Lead data strategy and architecture in partnership with the CPTO and engineering leaders, and champion data governance and security.