Top Data Jobs in Singapore

The Senior Product Data Analyst will utilize on-chain and off-chain data to drive data-backed decisions, optimize product performance, and design experiments for improved UX and business outcomes.

Design and architect data storage solutions, create and manage data pipelines, implement automation, and ensure data quality and compliance using AWS and Databricks while collaborating with cross-functional teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

As a Senior Product Data Analyst, you will drive data-backed decision-making, analyze on-chain and off-chain data to optimize product performance, and enhance user experience through experimentation.

As a Product Engineer in Advance Data Analytics, you will lead initiatives to enhance yield and quality using data analysis, machine learning, and AI. Responsibilities include algorithm development, data infrastructure enhancement, and collaboration with cross-functional teams.

Design and maintain data architectures, process large datasets, optimize ETL processes, collaborate with teams for data-driven decisions, and ensure data security.

Manage hybrid and multi-cloud environments on AWS and Azure, oversee cloud migrations, implement DevSecOps practices, and ensure security and compliance.

The Senior Data Scientist will drive the adoption of data science solutions, create statistical models, and visualize data to communicate insights to decision-makers.

The Managed Services Cross Technology Engineer (L2) SRE ensures IT systems reliability through automation, incident management, and proactive monitoring while supporting client service availability and performance optimization.

The Senior Manager, P&C Business Partner is responsible for implementing HR strategy, enhancing employee relations, and optimizing workforce planning while fostering team collaboration and ensuring compliance with HR policies.

The Senior Associate HR Business Partner develops HR solutions, manages organizational development and talent management activities, and drives diversity initiatives.

As a Cross Technology Sales Specialist, you will identify and pursue sales opportunities, engage with clients, and collaborate internally to create solutions that meet client needs while achieving sales targets.

Manage and optimize Nutanix solutions, execute evaluations, provide technical support, and troubleshoot Nutanix-related issues.

Lead business analysis for AI and data initiatives, bridging business needs and AI capabilities, while ensuring adherence to governance and compliance standards.

Deliver complete software solutions across all SDLC phases, guide junior engineers, and make technical decisions with minimal supervision.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

Lead Data Scientist responsible for developing and deploying multilingual large language models, building datasets, and improving AI safety alignment.

As a Senior kdb+ Developer, you will lead technical delivery on projects, design kdb+ architectures, mentor developers, and drive innovation in data solutions for finance.

The kdb+ Developer will collaborate with users to develop applications, maintain code, analyse data, and mentor juniors while delivering projects.

As a Data Scientist Manager, you will develop predictive models using large datasets, analyze trends, and collaborate with stakeholders to drive business decisions.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.