Top Data Jobs in Singapore

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.

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.

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.

The Data Engineer will build and maintain data ingestion pipelines, develop storage schemas, collaborate with traders and researchers, and ensure best practices in data accessibility and lineage.

The Marketing Data & Analytics Specialist analyzes digital performance, manages data quality, builds dashboards, supports attribution modeling, and conducts CRM analytics to drive marketing strategies.

As a Senior Data Engineer, you will enhance data reliability by designing scalable pipelines, collaborating with data teams, ensuring data security and governance, while adhering to best practices and regulatory standards.

The Technical Specialist provides guidance, performs certifications, engages in sales activities, maintains client relationships, and supports standards development.

The role involves constructing data reports for overseas developers, maintaining advertising data systems, and analyzing data for business optimization.

The AVP will lead data analysis and implementation execution, coordinating with teams to deliver solutions for client data requirements and ensuring data quality and validation.

As an AVP, Data Scientist in AI Labs, you'll collaborate to develop innovative AI solutions, manage projects, and provide data science expertise.

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

The Senior Data Analyst will convert marketing data into insights, enhance reporting, ensure data integrity, and manage an intern. Collaborate with leadership to improve marketing strategies and drive company growth.

Manage the design and lifecycle of Web3 infrastructure products focusing on data services, market data systems, and algorithm platforms. Collaborate with teams to meet performance and security needs, leveraging advanced AI technologies and on-chain data analytics.

Lead advanced analytics initiatives in compliance domains, translating regulatory requirements, mentoring staff, and ensuring quality and governance standards.

The Data Architect leads the design and delivery of data architecture and products, enhances data platforms like Databricks and Snowflake, and mentors teams across various business domains in data modeling and analytics.

The role focuses on driving revenue growth through AI-driven solutions and technology sales, involving customer engagement and collaboration with the Salesforce team.

The Head of Data Governance is responsible for overseeing data governance policies and practices to ensure data integrity, compliance, and utilization across the organization.

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.

The Data Analytics Lead will work with senior leadership on strategic projects, focusing on high-impact analytics solutions and driving execution for tangible results.

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, design kdb+ architectures, mentor developers, and drive innovation in financial data solutions.

The role involves developing and maintaining kdb+ applications, supporting project delivery, analyzing data, and mentoring juniors, while collaborating with business users.

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

This internship involves developing automated data pipelines, integrating data for performance tracking, and supporting R&D teams with predictive analytics and visualization through tools like Power BI and AI.

The Research Editor will create, update, and manage Risk & Compliance profiles, research regulatory changes, and support translation services. Requires language fluency and analytical skills.