Top Data Science Jobs in Singapore

This internship allows participants to work with data from cutting-edge IC products, engaging in advanced analytics and problem-solving alongside experienced product engineers and other disciplines. Interns will analyze complex problems, develop machine-learning solutions, and gain valuable training in data science within the semiconductor industry.

The Data Science Intern at GenScript will assist in data analysis for departmental resource management, including inventory tracking and data visualization to support decision-making. This role involves liaison duties between departments, document management, and safety inspections, along with other tasks for departmental efficiency.

Lead and manage data science projects, collaborating with stakeholders to identify AI and machine learning opportunities. Design and implement strategies, conduct experiments, and communicate insights clearly, while promoting data literacy and adhering to ethical guidelines.

As a Data Scientist, you will support analytics project development and deployment under the guidance of the Lead Data Scientist. Responsibilities include collaborating on analytics solutions, conducting exploratory data analyses, training machine learning models, and communicating analytics value to stakeholders.

The SMAI Senior Data Scientist will analyze diverse datasets in industrial manufacturing, focusing on statistical modeling, feature extraction, and machine learning. Responsibilities include data extraction using SQL, cleansing, applying analytical techniques, and software development. Knowledge of machine learning methods, toolsets like Python or R, and experience with manufacturing data are required.

The Data Scientist will collaborate on building scalable solutions for predictive modeling in finance, ensuring error-free data delivery, identifying new datasets, and enhancing data collection processes. Responsibilities include analyzing datasets, researching potential alpha signals, and improving data management technologies.

The Data Scientist will design and develop AI solutions for manufacturing, focusing on optimization and scheduling. Responsibilities include creating data analytics to provide insights, collaborating across departments to enhance production metrics, and exploring innovative technologies.

As a Senior Data Scientist, you will leverage Machine Learning techniques to drive innovation and efficiency in game development processes. Collaborating with game teams, you'll develop ML models, streamline workflows, and enhance player experiences, all while staying updated on advancements in gaming technology.

The Data Scientist role involves implementing data engineering, developing and tuning models for fraud detection, automating business tasks, and engaging with clients. The candidate will work on product development related to fraud detection, anti-money laundering, and claims automation while collaborating closely with clients and stakeholders.

As a Data Scientist at Micron, you'll analyze large datasets, develop algorithms, and create predictive models to derive actionable insights. This role involves collaboration with various teams to enhance existing tools and processes, driving global insights to optimize production metrics while utilizing machine learning techniques.

The Data Scientist at Tencent will analyze behavioral trends to identify malicious activities and develop strategies to protect users within the WeChat ecosystem. This role involves deploying machine learning models to detect fraudulent accounts while communicating insights to non-technical stakeholders.

The Intern in Data Analytics will conduct data analysis and validation using SQL and Python. The role involves automating data processes, building dashboards, collaborating across teams to derive insights, and supporting regular operational tasks and migration UAT as needed.

As a Senior Data Scientist at Grab, you will develop machine learning applications that aid merchants in their daily operations. Responsibilities include analyzing large datasets, designing scalable machine learning algorithms, evaluating algorithm performance, deploying solutions, and collaborating with teams to innovate and solve business challenges.

The Lead Data Scientist II at FedEx is responsible for conducting advanced analytical research aligned with strategic business objectives. This role involves using machine learning, predictive analytics, and natural language processing to provide insights, optimize processes, and develop business cases, supported by statistical and mathematical programming.

The Lead Data Scientist II at FedEx is responsible for supporting APAC business functions through advanced analytics, data analysis, and operations research. The role involves conducting complex analysis, creating mathematical models, and providing data-driven recommendations to improve operational efficiency. Additionally, it includes advising project management and training other analysts.

The job entails applying machine learning and advanced analytics to develop scalable solutions and provide end-to-end data analysis, focusing on delivering actionable insights and working cross-functionally.

As a Lead Data Scientist, you will develop self-optimizing pricing products to dynamically adjust booking fares. Responsibilities include translating business problems into machine learning models, automating model tuning, pipeline development, and effective communication with stakeholders to roll out pricing strategies across markets.