Top Data Jobs in Singapore

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

The role involves providing technical support, engaging with clients, writing documentation, and mentoring junior engineers in Networking implementations.

The Networking Technical Services Systems Integration Specialist provides technical support to clients, documents project specifications, mentors junior staff, and assumes ownership of networking technologies and projects.

Lead and deliver concurrent standard or complex client projects from concept to implementation, manage scope, budget, risks, issues, and stakeholder communications, act as single client contact, support pre-sales, and ensure successful handover to operations.

The Senior Associate Networking Technical Services Specialist is responsible for network installations, troubleshooting, problem resolution, and documenting procedures while developing knowledge in networking technologies.

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.

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

Lead regional AFC/AML analytics capability: design, build, validate and deploy AML/fraud detection models; guide country analytics teams; ensure model governance, data suitability, and production readiness across stakeholders and regions.

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.

Lead data-driven strategies for cross-border payments, manage BI and Data Engineering teams, and enhance business efficiency through data insights.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

Seek an Entry-Level Data Scientist to analyze semiconductor data, build predictive models, develop dashboards, and support quality investigations.

The role involves developing AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

Serve as the post-sale technical and commercial lead to drive adoption and consumption of Salesforce Data Cloud & Agentforce. Build executive relationships, develop consumption and adoption plans, provide architecture and integration guidance, identify and mitigate risks, coordinate cross-functional teams, and evangelize use cases to accelerate value and ACV growth.

As a Senior Data Scientist, you'll design datasets, conduct model pre-training, and collaborate with teams to develop LLM features for diverse users.

As a Lead Data Scientist, you will design and deploy search and recommendation algorithms, optimizing user experience for GoFood and GoPay systems, leveraging large-scale data and machine learning expertise.

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

The Data Scientist will develop and deploy AI models for computer vision and text processing, enhancing business products at GoTo Financial. Responsibilities include model optimization, documentation, and collaboration between data science and engineering teams.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

The Lead Data Scientist will develop machine learning solutions for fraud detection, manage model creation, deployment, and collaborate to ensure business impact.

Responsible for sales results in mid-size and large accounts, developing customer relations, analyzing sales data, and driving innovative products.

As a kdb+ Engineer, you will develop and maintain applications, support project delivery, analyze time-series data, and mentor junior developers.

Lead technical delivery of projects, design kdb+ architectures for time-series data, mentor developers, and drive innovation in kdb+ systems.