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Top Data Science Jobs in Singapore
The Data Science Manager at Visa will lead the data and analytics ecosystem by translating business challenges into data solutions, driving data initiatives for strategic insights, collaborating with cross-functional teams, and developing data-driven recommendations to enhance sales and customer engagement.
The Data Science Manager will oversee the development of generative AI applications, manage a team of engineers, guide project prioritization, and collaborate with cross-functional teams to align AI initiatives with business goals.
As a Data Scientist, you will develop AI, ML, and OR models to optimize supply chain operations like demand forecasting and inventory management. You'll perform data cleaning, visualizations, and communicate insights. Collaborating with teams to enhance efficiency and deploying models into production will be key responsibilities.
As a Data Scientist for the CSG CTO Advanced Architectures team, you will develop and deploy AI/ML solutions for client devices, collaborate with engineering teams, optimize machine learning models, and translate business questions into actionable data insights.
The Technical Manager (Data Science) will manage the data science team, applying machine learning algorithms to build accurate models, collaborating with teams to create prototypes, guiding junior members, and contributing to product roadmaps. This role requires strong leadership and communication skills to solve engineering challenges in digital advertising and real-time bidding.
The Senior Manager, Data Analytics and Data Science will lead the strategy and implementation of data-driven solutions within the organization. This role requires overseeing the entire data process, from collection to deployment, while influencing stakeholders and mentoring team members to drive business impact and improve customer experiences.
The role involves performing data analysis and machine learning on large datasets within the industrial manufacturing sector. Responsibilities include data extraction, statistical modeling, feature extraction, and the application of various machine learning methods. Candidates will also work with databases using SQL and other tools, and communicate findings effectively.
As a Data Scientist at Micron, you will design advanced manufacturing and AI solutions, develop data analytics applications, and collaborate with various teams to enhance production metrics. Key tasks include exploring new technologies and optimizing manufacturing capabilities through smart scheduling and simulation solutions.
The Senior Data & AI Specialist at IOTA will perform data analysis, develop machine learning models, create visualizations, and optimize data processes. Key responsibilities include collaboration with cross-functional teams to align product strategies with technological capabilities and customer needs.
As a Senior Data Scientist at Grab, you will develop and implement LLM-based applications, analyze large datasets using ML algorithms, and collaborate with cross-functional teams to drive merchant growth. Your role involves designing data-driven experiments, providing insights, and staying current with advancements in machine learning technologies.
The Data Scientist will design, develop, and program methods to analyze big data for actionable insights. Responsibilities include coding software programs, employing statistical modeling, and collaborating with teams for data analysis. Desired skills include experience with machine learning techniques and proficiency in data querying and analysis tools.
The Senior Data Scientist will collaborate with product domains to address challenges in ranking and recommendation systems, develop data-driven solutions, and manage multiple data science projects. This role requires translating customer needs into technical specifications and overseeing the delivery of projects.
The Sr. Data Scientist will lead model development for Empower’s expansion in Southeast Asia, focusing on building machine learning models and analytics to enhance customer credit access while collaborating with a team across various functions.
As a Gen AI Data Scientist at Kyndryl, you will leverage AI methodologies and statistical techniques to solve complex business problems. You will collect data, create and validate models, and deploy them into applications, while ensuring data security and accuracy. Collaboration with business stakeholders and leading AI projects and workshops is key to this role.
The Sr. Data Scientist will lead model development for Empower's new Southeast Asia business, primarily the Philippines. This role involves building machine learning models, collaborating with teams across the company, designing strategies for underwriting and customer experience, and developing analytics pipelines to enhance the business.
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 Senior Data Scientist will lead model development and deployment for Empower’s Southeast Asia launch, focusing on building machine learning models to enhance credit risk assessments. Responsibilities include collaborating with cross-functional teams, developing analytics pipelines, and strategizing for business growth while using large datasets.
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.
As a Data Scientist in the Geo team at Grab, you will analyze large datasets to provide insights for product improvements, generate data-driven hypotheses, design experiments, and work collaboratively with various teams to enhance decision-making processes and improve operational productivity.
The Senior Data Scientist will analyze data to identify fraudulent activity patterns, develop and deploy scalable machine learning models for fraud detection, and collaborate with stakeholders to integrate solutions into Grab's platform. Responsibilities include conducting experiments, evaluating model performance, and staying updated with advancements in the field.
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 Lead Data Scientist, you will leverage big data to create deep learning and reinforcement learning models for optimizing supply and incentivization within Grab's marketplace. Responsibilities include collaborating with stakeholders, conducting exploratory analyses, developing solutions, and mentoring junior members of the team.
The Lead Data Scientist will develop advanced machine learning models to enhance the Grab SuperApp experience. This includes analyzing unstructured data, deploying algorithms for personalization and prediction, performing A/B testing, and communicating results to stakeholders.
As a Senior Data Scientist at Gojek, you will lead analytical projects, design machine learning models, and mentor a team. Responsibilities include collaborating with stakeholders for data insights, developing data governance standards, conducting experiments, and visualizing data for strategic recommendations.
As a Senior Data Scientist in the Mobility Data Science team, you will build AI models for Grab's ride-hailing business, enhancing passenger experience and driving decision-making through data insights. You will work with large datasets, develop machine learning models, and collaborate with cross-functional teams to address key business challenges.
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