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Top Data Jobs in Singapore
As a Senior Data Scientist at Grab, you will develop self-optimising pricing products that adjust automatically to market conditions. Key responsibilities include establishing scalable pipelines for model tuning, building dashboards for monitoring performance, and creating technical documents. You will also engage in code reviews and stay current with relevant skills and technologies.
The Software Development Manager in Data & Comms will oversee the implementation and development of SimCorp Dimension for clients, ensuring quality and security. Responsibilities include designing client-specific solutions, mentoring team members, and improving processes within the Data & Communications service line. This role is client-facing and involves troubleshooting technical issues and driving project success.
As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.
The Finance Data, Analytics & Visualization Specialist is responsible for creating and maintaining data visualizations and dashboards, collaborating with stakeholders to meet reporting needs, and ensuring data accuracy. The role includes developing monthly reports, managing ETL processes, and optimizing visualization performance using tools like PowerBI and Excel.
Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.
The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.
The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.
The role involves managing Data & Analytics for the Plan to Fulfil area as part of the S/4HANA digital transformation in Pet Nutrition. Responsibilities include data collection, analysis, and presentation of findings to stakeholders, along with ensuring data accuracy and developing solutions.
Responsible for data business development, data governance, and data platform maintenance in a top cryptocurrency exchange. Requires expertise in Python, big data platforms, SQL, and database management. Strong communication and problem-solving skills.
As a Senior Data Scientist, you'll work on building AI bots for games using reinforcement learning, support scalable AI services, run performance experiments, and research new approaches to enhance performance.
As a Data Scientist and AI Product Manager at OKX, you will design, implement, and manage AI-driven solutions in various business domains, especially focusing on risk and fraud management. The role involves collaborating with AI engineers and data teams to deliver robust AI models, defining success metrics, conducting AB tests, and researching innovative techniques in the crypto space.
As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.
As a Data Scientist at Funding Societies, you will design and develop machine learning models for credit scoring and risk assessment, analyze datasets for insights, and improve model infrastructure. Collaboration with the team to automate reports and workflows is key, along with creating actionable insights for business decisions.
The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.
As a Senior Compliance Data Analyst, you will analyze large datasets to identify compliance trends and support financial crime operations. You'll collaborate with legal teams, participate in AML assessments, and communicate insights to leadership while optimizing data workflows.
The VP : Senior Big Data Solutions Lead is responsible for leading application systems analysis and programming, collaborating with management teams to enhance system functionality and resolve complex business issues. This role requires providing advanced programming expertise, analyzing business integration, coaching developers, and ensuring compliance with regulations while managing projects.
As a Senior Data Engineer at Walmart, you will develop scalable solutions for extracting, transforming, and loading big data, ensuring data quality and governance, and collaborating with engineering teams globally to optimize data workflows.
The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.
As a Data Science Lead, you will oversee the development and monitoring of credit risk models for consumer lending products. Responsibilities include feature engineering, model evaluation, and communication with business teams to ensure models meet business needs. You will leverage data analysis skills to support financial inclusion.
The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.
The Senior Digital Lead - Data & Analytics will manage the Data & Analytics for the Financial aspect of the Shepherd program, leading a high-performing team, ensuring data accuracy, performing analyses, and reporting insights for digital transformation in Pet Nutrition.
Perform analyses on products, design experiments, develop and maintain key metrics and reports. Requires at least a BA/BS in a quantitative field with 2+ years of relevant experience. Must have experience with data analyses using SQL and programming/modeling in Python.
The Data Engineer will analyze data needs, migrate data collection processes, implement data engineering jobs, develop testing plans, and collaborate with technical teams to ensure smooth deployment and operation of IT solutions.
The Senior Data Consultant will lead projects, ensuring quality delivery and driving client success through effective communication and problem-solving. Responsibilities include developing strategies, managing project execution, and fostering long-term client relationships while leveraging data for business impact.
As a Senior Data Scientist at PayPal, you will engage in data analytics, develop reports and dashboards, and uncover insights to enhance the servicing experience. You will work in a fast-paced environment, utilizing your analytical skills to drive strategy and innovation.
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