Top Data Science Jobs in Singapore
The Data Engineer position at Edenred involves supporting and improving data capabilities, building data pipelines, designing data platforms, and collaborating with various teams. Responsibilities include monitoring and managing data pipelines, designing architectures, implementing data governance frameworks, and enhancing data delivery. The ideal candidate has a Bachelor's or Master's degree in a related field, 2-3 years of experience in Data Engineering, and proficiency in Microsoft Azure and ETL processes.
Senior Data Scientist role at Grab in Singapore focused on fraud detection using statistical and machine learning techniques. Responsibilities include analyzing transactional data, developing machine learning models, collaborating with teams, and maintaining fraud detection solutions.
Build and optimize 'big data' data pipelines, perform root cause analysis, support data modeling, manipulate large datasets, work with message queuing and stream processing, and perform CI/CD activities.
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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The Coca-Cola Company is seeking a Data Engineer to lead the design and engineering of data solutions, develop ETL pipelines, work with various programming languages and data platforms, and contribute to digital transformation efforts.
Managing a data science team to solve engineering tasks in digital advertising and real-time bidding, collaborating with other teams to transform technologies into products, guiding junior team members, and evaluating new technologies for prototyping. Also responsible for implementing security mechanisms and sharing information related to information security incident handling.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
Lead Data Scientist role at Grab, responsible for building self-optimising pricing products to adjust fares based on market conditions. Involves automating model parameter tuning, collaborating with Engineering teams, and staying updated with the latest skills.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
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.
Looking for an experienced Data Scientist to work on varied and challenging projects across Aerospace business processes. Responsibilities include understanding business problems, data processing, experiment design, model development, and driving innovation within the organization.
As a Senior Data Scientist in Growth Analytics at Moloco, you will provide data products and insights to help customers improve campaign performance with machine learning models. Responsibilities include data analysis, validation, campaign optimization, and business collaboration.
Propose predictive analytics solutions, conduct research, gather requirements, co-ordinate multi-teams, advance core capabilities in data science and analytics, manage resources and team building.
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.
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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.
Seeking a Senior Data Scientist with 5+ years of experience in data science, preferably within the fintech or financial services industry. Responsibilities include developing and deploying machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation, conducting data analysis, and providing insights to drive business decisions.
Seeking a motivated Data Scientist with 2+ years of experience in data science and machine learning. Must have strong Python skills and experience with end-to-end solutions using diverse technologies. Collaborative mindset and problem-solving skills are essential.
Join our team as a Senior Data Scientist specializing in Generative AI solutions. Collaborate with colleagues to implement advanced analytical solutions and drive business impact. Take the lead in building and scaling Generative AI applications using Open AI services across multiple business areas.
The Senior Analytics Engineer at Remote will be responsible for designing, developing, and maintaining dbt models for data transformation and analysis. They will work collaboratively on challenging data problems and make an impact with their work, using modern data tooling such as SQL, Python, and various data platforms.
Develop and implement data-driven methods to measure and monitor credit risk, utilize advanced statistical and machine learning methods, collaborate with stakeholders, and drive innovation in risk decision making.
Collaborate with product domains, translate customer needs into technical requirements, develop data-driven solutions, oversee data science projects, and work with the brightest minds in the industry to revolutionize the travel industry through data.
As a Senior Data Scientist at Micron Technology Inc., you will be responsible for creating comprehensive platform solutions for Fulfilment & Logistics Operations using data and heuristics methods. Collaborate with Global Operations to enhance Cost, Scale, Quality, and Cycle Time through data architecture design. Develop data systems, ensure high-quality operational data, design and implement data analytics, and create visualization solutions.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
Join the senior data scientist team at Tencent to work on building AI bots in games using reinforcement learning. Research new approaches to improve performance and support the production of scalable AI services.
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