Top Data Jobs in Singapore

Lead the Growth Analytics team to drive data-driven growth initiatives, mentor data scientists, and collaborate across departments to optimize strategies using data science techniques.

The Senior Data Scientist will analyze complex data sets, collaborate with cross-functional teams, and drive product strategies through insights and recommendations.

The Senior Data Scientist will drive product adoption through data analysis, build scalable measurement frameworks, and partner with cross-functional teams to execute Growth strategy.

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

This role involves serving as a technical advisor for RaptorDB solutions, engaging with customers, leading discovery sessions, and building prototypes. Responsibilities include solution storytelling, conducting workshops, and supporting presales lifecycle from qualification to close.

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

Lead data analyses for CTO decisions, build models to optimize performance, and collaborate with engineering and finance teams to track KPIs.

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.

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.

Lead the Data Infrastructure team in designing and maintaining scalable software systems and tools while ensuring high quality and security standards.

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 optimize payment performance, conduct experiments, and partner with cross-functional teams to inform product strategy and decisions.

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 Senior Data Platform Engineer will design and implement data processing systems, optimize data storage, and mentor junior engineers to enhance data-driven decision-making.

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

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.

As an Expert Software Engineer, you will lead engineering teams, drive technical initiatives, and oversee the development of a scalable Data Orchestration SaaS product for financial risk management.

The Consultant/Senior Consultant will manage projects, develop practice-related content, and enhance data delivery methodologies, ensuring timely and quality project completion.

The Data Apps Development & Lead Analyst leads applications development teams, integrates data analytics with business needs, and guides complex decision-making processes while ensuring compliance with regulations.

Develop and implement marketing measurement models, analyze campaign performance, design experiments, and collaborate with teams for data-driven insights.