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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 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.
The Senior Data Scientist will analyze large datasets using machine learning and statistical methods, requiring expertise in SQL, Python, and various data processing frameworks. Responsibilities include data extraction, cleaning, and applying advanced analytical techniques in an industrial manufacturing context.
The Senior Data Scientist will develop advanced chatbot technologies, analyze unstructured data, and create machine learning models tailored for conversational AI. Responsibilities include model evaluation, collaboration with cross-functional teams, and keeping abreast of innovative advancements in the field.
As a Data Scientist at Funding Societies, you will develop machine learning models for credit scoring and risk assessment. Your role includes analyzing datasets, collaborating on automated reporting, and improving model infrastructure. You'll engage in continuous learning and contribute to impactful business decisions through data insights.
The Senior Data Scientist will analyze datasets to solve business problems, design analytical solutions, conduct data exploration and model validation, and collaborate with engineering teams to improve data collection and integrate AI/ML solutions.
The Senior Data Scientist will provide insights to enhance consumer experience for GrabFood/GrabMart. Responsibilities include collaborating with stakeholders, performing product and strategic analytics, designing experiments, and developing data pipelines. The role emphasizes data-driven decision-making and requires strong analytical, visualization, and communication skills.
As a Senior Data Scientist, you will develop and deploy machine learning models, conduct data analysis to enhance business processes, and lead projects while mentoring junior team members. Your role is critical in providing insights that drive strategic business decisions.
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