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Top Data Science Jobs in Kuala Lumpur
As a Data Science Manager, you will lead a team focusing on the development of machine learning algorithms for MoneyLion’s products, addressing issues such as fraud, underwriting, and financial recommendations. You will be responsible for research initiatives, employing cutting-edge techniques, driving innovation, and ensuring business value.
As a Data Scientist in Decision Science at MoneyLion, you will apply analytics, experimentation, and machine learning to support product enhancements and data-driven decisions. Your role includes conducting analyses, designing experiments, collaborating with teams, and developing dashboards to optimize user experience and business performance.
As a Senior Data Scientist at Capco, you will lead complex data mining projects and utilize machine learning tools for model building. You'll mentor data scientists, develop Gen AI use cases, and provide thought leadership on data science trends, contributing to the overall data strategy and MLOps framework.
As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.
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.
As the Manager of Data Science and Analytics, you will lead a small team, oversee project delivery, and enhance data-driven solutions in the APAC region. Collaborate with diverse teams to create insights, manage client relationships, and ensure successful project execution. Focus on developing analytics capabilities and mentoring staff while driving innovation in data solutions.
As a Principal Data Scientist at SEEK, you will lead a team in developing machine learning-based products that deliver value to job seekers and hirers. You will analyze data for strategic decision-making, design A/B tests, and collaborate with engineers and product managers to enhance product roadmaps. The role also involves mentoring junior data scientists and staying updated with emerging data science techniques.
The Data Scientist will work within the Artificial Intelligence Platform Services team, focusing on building machine learning products. Responsibilities include defining data problems, validating data, designing transformation pipelines, and collaborating with stakeholders. The role requires staying updated on NLP techniques and making business impact through data-driven solutions.
The Data Scientist will develop AI solutions for SEEK Pass, focusing on document verification and validation. Responsibilities include designing evaluations for AI features, executing machine learning algorithms, collaborating with teams, and supporting data science community initiatives. The candidate should have expertise in modern data science practices and contribute to agile project deliveries.
The Senior Data Scientist will lead AI projects at SEEK Pass, develop solutions for document verification, and enhance business value through innovative technologies in machine learning, computer vision, and natural language processing. Responsibilities include proposing new AI solutions, leading evaluations, and collaborating with cross-functional teams to tackle business challenges.
As a Senior Data Scientist at FedEx, you will apply your expertise in data science, statistical analysis, and machine learning to solve complex business challenges, improve decision-making, and contribute to innovative solutions across the organization.
The Senior Data Scientist will engage in data engineering, data science, and translating data insights. Key responsibilities include applying data mining techniques, conducting statistical analyses, and building predictive models to drive data-driven decision-making across the business.
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