Top Data Jobs in Singapore

As a Senior Data Scientist, you will design and build bidding algorithms, enhance optimization algorithms, and work with large datasets. You will collaborate with agile teams, develop new products, and provide mentorship.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

Develop and optimize machine learning solutions for cybersecurity problems, deploying models, collaborating with teams, and ensuring continual improvement of cybersecurity strategies.

The Engineer will develop and manage AI analytics platforms and data processing workflows, focusing on large data sets and maintaining system functionality.

As an Associate Data Scientist, you will develop and optimize machine learning solutions, deploy models, and collaborate with cybersecurity teams to improve strategies.

The Data Scientist will develop AML detection models, analyze datasets for suspicious patterns, automate data pipelines, and prepare reports for stakeholders.

The Data Engineer will lead the migration of data infrastructure to AWS, design ETL processes, and migrate dashboards while ensuring documentation and user training.

The Senior Financial Analyst gathers and analyzes complex financial data to provide insights, optimize budgets, and improve profitability within the business.

Drive pipeline and quota attainment for Veeam's M365 data protection solutions, collaborating with sales teams and engaging with customers to define data resiliency strategies.

The Data Engineer will design and build modern data platforms, execute technical implementations, and ensure data integrity while collaborating with other teams.

The Associate Director will lead supply chain and procurement for Data Centre Contracting across APAC, developing strategies, managing supplier ecosystems, and ensuring procurement excellence in projects.

The Sales Specialist for Data & Feeds will drive gross sales of pricing and reference data services, engaging with institutional clients, and handling regulatory compliance needs. They will collaborate with account managers and drive revenue growth through relationship building in various departments.

The role requires ownership of archival projects based on OpenText InfoArchive, data extraction from SAP and Non-SAP systems, reporting, and managing archival execution.

Manage cloud infrastructure on AWS focusing on reliability and performance, build Data Lake architecture, administer databases, and ensure data quality and compliance.

The Market Data Operations Analyst supports clients by managing market data processes, ensuring accurate service delivery and contributing to strategic projects.

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.

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

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.

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