Top Data Jobs in Singapore
Responsible for the overall business analysis of trading products, implementing data-driven approaches, developing data analysis tools, and driving the implementation of business decisions.
The Analyst / Sr Analyst - Data Engineer role at Lilly involves designing, developing, and maintaining complex data solutions for analytics and reporting. The role focuses on ensuring data availability and quality for external government and regulatory reporting purposes. Data engineers play a crucial role in transforming raw data into analysis-ready datasets for decision-making.
Take initiative and ownership of projects and clients, understand and document business requirements, propose technology solutions, design data security measures, and build schemas and data transformations.
Lead the Data Ingestion process at Mars Pet Nutrition, ensuring data quality, performance metrics, and stakeholder engagement. Manage data processing, compliance, and team resources to support the digital needs of the Pet Nutrition division.
The General Manager of Marketing Data Analytics will be responsible for developing a marketing analytics strategy to make informed decisions, improve marketing performance, and influence sales. They will track and analyze marketing data to provide insights, improve strategies, and target audiences effectively. This is a newly created role that will evolve into a team position, reporting to the Executive Director of Marketing, APAC.
Senior Data Scientist role at Grab focusing on fraud detection using statistical and machine learning techniques. Analyzing transactional data, developing machine learning models, and deploying fraud detection solutions in production environments.
Conceptualize and develop machine learning models to model consumer preferences, behavior, and interactions for recommendation algorithms. Drive product improvements and algorithm development in a fast-paced environment. Deep dive into big data to derive insights and implement machine learning algorithms efficiently. Test impact of algorithms with A/B tests and communicate results effectively.
Seeking a Lead Data Scientist to build advanced machine learning models for personalization, recommendation, prediction, and optimization to enhance the Grab SuperApp experience. Responsibilities include analyzing large volumes of data, designing and deploying machine learning models, performing model evaluation, and communicating results to stakeholders.
Senior Data Scientist role within Grab's Mobility Data Science team. Responsibilities include extracting insights from large datasets, developing machine learning models, and collaborating with cross-functional teams to implement data solutions. Must-have qualifications include a Master's degree and at least 3 years of experience in relevant fields, proficiency in Python and Scala, and strong communication skills.
Senior Data Scientist specializing in Conversational AI at Grab Support. Responsibilities include analyzing unstructured data, developing machine learning models for conversational AI, evaluating models, collaborating with teams, and researching advancements in AI. Must have a Ph.D. or Master's in relevant fields, strong fundamentals in ML and NLP algorithms, familiarity with deep learning frameworks, statistical programming skills, and software development capabilities. Good to have experience with customer support chatbots and multi
Lead Data Engineer responsible for spearheading the design and enhancement of data warehouse systems, collaborating with stakeholders, leading a team of data engineers, and promoting organization-wide visibility through data insights. Must have at least 6-7 years of experience in Data Warehousing and proficiency in Python, Scala, SQL, and Big Data frameworks.
Develop machine learning algorithms in Natural Language Processing and Computer Vision domains. Prepare and analyze big datasets, design and evaluate algorithms, and deploy solutions to production. Collaborate with data scientists, software engineers, and business operations teams.
Looking for a Lead Data Scientist to build self-optimizing pricing products that can adjust fares in response to market conditions. Responsibilities include translating business problems into ML models, data retrieval, automating model tuning, collaborating with engineering teams for model deployment, and communicating with stakeholders.
The Data Scientist at Knorex will be responsible for developing algorithms, implementing machine learning models, communicating with business teams, and evaluating solutions. They must possess strong programming skills, a deep understanding of machine learning techniques, and experience with deploying large-scale systems in the cloud environment.
The Senior Digital Lead - Data & Analytics will be responsible for managing the Data & Analytics area for Finance within the Pet Nutrition sector at Mars, Inc. This role will involve overseeing the implementation of SAP S/4Hana and working on data collection, cleaning, analysis, reporting, and presentation for the ERP Digital Transformation program.
Seeking a Data Architect to design and manage data architecture for robust, scalable, and secure data operations at OKX. Responsibilities include designing data architectures, developing data pipelines, promoting data governance, and optimizing data retrieval processes. Requires 3 years of experience in a data architect role and expertise in AWS services, PySpark, and Alibaba Cloud.
Senior Data Analyst role at DECA Games, responsible for owning the analytics of games, working closely with stakeholders, and leading BI projects to impact major KPIs. Must have 2-5 years of experience in data analysis, solid SQL knowledge, and experience with visualization tools.
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Seeking a Senior Data Analytics Engineer to work on Business Intelligence solutions, extract insights from large datasets, and provide recommendations for decision-making. The role involves designing reports, visualizations, and ensuring data accuracy and reliability. The ideal candidate will have 5 years of experience in Data Analytics or BI Engineering with proficiency in SQL and BI visualization tools like Google Looker.
负责大数据平台架构设计、技术选型、海量数据的处理分析性能支撑、实时处理系统的设计和开发工作、对系统扩展、安、性能等负责、解决开发、运行中出现的各种技术难题、主导大数据平台技术架构规范、标准的制定，为应用设计、开发及部署提供架构指导原则。
The Test Environment and Data Manager is responsible for managing test environments, test data, and resources to ensure high-quality systems testing. They work closely with project stakeholders to capture test environment requirements and enforce environment management policies and procedures. This role also involves managing configuration control, test data creation, and resource utilization.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
Seeking an experienced Lead Data Engineer to build scalable solutions in Azure Platforms for Data & Analytics. Responsibilities include managing and administering Microsoft Azure, designing multi-region solutions, conducting Proof of Concepts, migrating infrastructure to cloud, implementing security controls, and supporting cloud adoption. Required skills include Azure experience, IaaS and PaaS solutions, agile framework, IaC development with Terraform and Azure CLI, Python, C#, Windows, Linux, networking, Azure services like AKS and ADLS, GIT, ADO, Terraform Cloud, Azure DevOps, Jira, and ServiceNow.
The Data Engineer II is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. They extract and analyze data from multiple databases/platforms, design analytics models, and address business challenges. The role involves ensuring data integrity, conducting root-cause analyses, and implementing corrective measures for data-related issues.
The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.
Lead Data Scientist responsible for using big data to derive insights, develop deep learning and optimization models, and solve challenges related to supply repositioning, activation, and incentivization within Grab's marketplace.
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