Top Data Jobs in Singapore
The successful candidate will turn data into information, information into insight, and insight into business decisions.
Develop machine learning models for consumer recommendation experience. Dive into large datasets, design algorithms, conduct A/B tests, visualize results, lead algorithm development, and drive product improvements.
As a Senior Data Scientist at Grab in Singapore, you will work on big datasets, develop efficient algorithms, and deploy machine learning solutions to impact business operations and drive innovation in Natural Language Processing (NLP) and Computer Vision.
As a Senior Data Engineer at Walmart EBS financial compliance Team, you will be responsible for developing and maintaining data pipelines for retail data science, collaborating with Data Scientists and Analysts, and solving complex challenges to evolve the retail business model.
Design, develop, and maintain SQL data warehouses, build reports and dynamic dashboards, and manage data pipelines using Airflow for Cupid Media under Social Discovery Group.
Build credit models for innovative products, collaborate with stakeholders, design and develop standalone models, analyze data, investigate new data sources, optimize performance of modeling solutions.
Join Funding Societies | Modalku as a Data Scientist to develop machine learning models, analyze data trends, and improve model infrastructure for credit scoring and risk assessment in the fintech industry. Collaborate with a dynamic team and contribute to impactful projects shaping the business.
Data Scientist position at Applied Materials Singapore, supporting the Legal Department in driving impactful business decisions through data analysis. Responsibilities include collaborating globally, designing models, developing dashboards, and identifying new opportunities. Qualifications include a bachelor's degree, 2 years of experience, proficiency in data analytics tools, and familiarity with machine learning models and automation solutions.
The MDM Market Analyst will be responsible for master data creation, maintenance, and retirement within the Customer and Product Master Data Domains for South Europe. Key responsibilities include data aggregation, syndication, and quality checks to ensure adherence to master data standards and processes.
Looking for a Senior Data Engineer to create and manage data infrastructure and tools, evaluate optimal design for data stream, storage, and processing, integrate data platform with application frameworks, support exploration of new technology, and provide technical advice on IT and OT solutions.
Seeking a Senior Data Scientist to leverage big data for actionable insights and solutions in supply repositioning and optimization within Grab's marketplace. Responsibilities include collaborating with stakeholders, formulating data science problems, developing solutions, deploying models at scale, and mentoring junior team members.
Seeking an Associate Team Lead to join the Data Engineering team at Remote, responsible for overseeing and mentoring a group of engineers to deliver high-quality data products and solutions. The team works on modern data tooling on the AWS platform, using SQL, Python, Snowflake, and dbt.
The Finance Reporting & Data Visualization Specialist at Toll Group is responsible for designing, developing, and maintaining data visualizations and dashboards using tools like PowerBI and Excel. They collaborate with stakeholders to understand reporting requirements, ensure data accuracy, and optimize visualization performance.
Responsible for SAP S/4 integrations for global Make to Deliver template, designing integrations with MES applications, managing data for analytic solutions, and collaborating with technical teams for development and testing phases.
Lead the design, development, and delivery of data solutions using AWS core data services. Oversee technical aspects of data systems and ensure end-to-end delivery. Collaborate with business partners to translate requirements into technical solutions. Implement data management strategies and advocate for best practices in data engineering and AWS technologies.
As a Data Scientist at GlobalFoundries, you will work closely with the Lead Data Scientist to develop and deploy machine learning models for complex operational challenges. You will support in building scalable data products, conducting data analysis, and collaborating with stakeholders. Other responsibilities include promoting analytics value and ensuring safety compliance.
As a Data Scientist at GoTo Financial, specialize in deep learning for computer vision, voice, and text processing. Lead development and deployment of AI models impacting key business products. Enhance systems with deep learning models and ensure scalability in production. Drive innovation and solve critical business challenges.
Looking for an experienced Data Scientist to join the team and drive international advertising business growth. Responsibilities include strategic analysis, opportunity sizing, decision-making enhancement, success metric tracking, and leadership in the data science domain. Proficiency in SQL, Hive, Python, statistics, and experimentation is required.
Responsible for analyzing large datasets, creating reports and visualizations, and providing insights to drive business decisions. Must have strong SQL and Python skills.
Design, develop, and maintain real-time and batch data processing pipelines using Apache Flink, collaborate with cross-functional teams, troubleshoot and resolve performance bottlenecks in stream processing, and improve system performance and data integrity.
Lead Data Engineer responsible for overseeing the development, testing, deployment, and support of large-scale data warehouse systems. Must have experience in data warehousing, data modelling, big data concepts, and proficiency in Python, Scala, or SQL. Experience with frameworks like Spark, Airflow, Hive, Flink, and Kafka, as well as developing data solutions using AWS.
Encouraged to be your best self, work with dynamic colleagues, make life brighter for clients
Lead Data Engineer responsible for designing, building, and optimizing data infrastructure for advanced analytics needs of the bank. Oversee a team of data engineers and collaborate with stakeholders to deliver high-quality data solutions. Key responsibilities include designing data processing pipelines, optimizing Spark jobs, integrating Elasticsearch, and deploying solutions on OpenShift Container Platform. Must have 10 years of experience as a Data Engineer, Quantexa certification, and proficiency in Hadoop, Spark, and related tools.
The Senior Data and Insights Analyst, Legal at Mars, Inc. leverages data analytics and insights for informed decision-making, risk management, and operational efficiency within the Legal Department. Responsibilities include analyzing legal spend data, tracking trends, providing actionable recommendations, and collaborating with legal teams and cross-functional partners.
Develop high performance and scalable solutions to extract, transform, and load big data at Walmart Global Tech. Support People Data applications, ensuring data quality and governance standards. Collaborate with engineering teams to drive value from data at Walmart Scale.
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