Top Data Jobs in Singapore

The Senior Data Scientist will analyze data to influence marketing strategies, develop reports, and collaborate with teams to enhance business growth.

Analyze compliance impacts on transactions, develop risk detection frameworks, and collaborate across teams to enhance compliance risk strategies.

Design and develop credit risk models for SME lending, analyze compliance impacts, and mentor junior analysts in the risk product domain.

The Staff Data Scientist will lead Growth Analytics, mentoring team members and collaborating with various departments to drive product-led growth through data analysis and insights.

Lead moderately complex supply chain data projects, analyze trends, utilize digital technologies, and ensure compliance with regulatory standards.

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

As a Staff Data Scientist, you'll partner with leaders to derive insights from data, build forecasting tools, mentor juniors, and enhance business efficiency using AI and causal inference methods.

The Senior Data Scientist will optimize payment performance, conduct experiments, and partner with cross-functional teams to inform product strategy and decisions.

Manage risk portfolio and provide insights on financial market risks. Use statistical and machine learning models to optimize decision-making.

The Senior Data Scientist will design experiments, develop optimization algorithms, and build predictive models to enhance payment success rates. Collaboration with cross-functional teams is essential to influence product strategies.

The Staff Data Scientist will lead the data science team, mentor members, influence product strategy, and apply quantitative analysis to enhance fintech solutions.

The Senior Data Scientist will enhance product strategy through data analysis, collaborating with cross-functional teams to improve business metrics.

The Senior Data Platform Engineer will design, build and maintain data pipelines, optimize data processing, and collaborate on data handling solutions within the Growth Team.

Lead data initiatives by partnering with executives, applying causal inference methods, mentoring junior members, and building data products to support business growth.

As a Staff Data Scientist, you will partner with executives, utilize causal inference for business impact analysis, mentor juniors, and build data products.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

As a Staff Data Analyst at Stripe, you'll partner with teams to build data products, analyze large datasets, and deliver business insights through metrics and dashboards.

As a Data Scientist Intern, you will assist in data collection, analysis, reporting, model development, and research to enhance recruitment processes.

The Junior Data Engineer will write and optimize SQL queries, work with Apache Spark, and develop Hive tables for data pipelines, ensuring data quality and performance.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

Lead complex data research, analysis, and visualization efforts. Manage a small team, implement policy strategies, and enhance business operations through data-driven insights.

The Data Engineer will manage patent data operations, design data processing solutions, monitor data quality, and optimize frameworks.

Lead the development of multilingual LLMs for Indonesia, involving dataset creation, model training, and collaboration with engineers to implement AI solutions.

You will analyze growth in product performance, develop analytical reports, propose experiments, monitor trends, and improve data analysis tools.