Top Data Science Jobs in Singapore

The Director will lead the Financial Crime Solutions team to develop strategies, partnerships, and commercialization initiatives to enhance Mastercard's financial crime prevention efforts in the Asia-Pacific region, focusing on collaboration with government and financial institutions.

As a Director of Data Science at Mastercard, you will lead financial crime modeling efforts, engaging with teams and stakeholders to ensure effective solutions that meet customer and regulatory needs. You will represent Mastercard at industry events and contribute to white papers, while collaborating with global teams to align methodologies.

The Forensics and Intelligence Data Analyst role supports the COE for cybersecurity by analyzing data trends, developing strategies, tracking product performance, and collaborating with stakeholders to enhance financial crime solutions across the Asia-Pacific region.

The Director will architect AI and Privacy Enhancing Technology solutions, engage with regulators and partners, and guide initiatives to enhance AI and PET adoption within Mastercard's framework.

The Principal Business Intelligence Analyst at Micron drives AI transformation in Smart Manufacturing by leading projects and collaborating across functions to improve manufacturing performance and data utilization using innovative AI solutions.

The QEM PQE Engineer will support semiconductor manufacturing by improving product yield and reliability, driving data analysis and collaboration across teams to enhance performance.

Lead a team to develop data-driven solutions that optimize planning and operations in the semiconductor industry using advanced analytics.

Lead the OCT Photo teams, aligning with company goals, driving strategic initiatives, managing projects, and developing workforce readiness in semiconductor manufacturing.

The role involves developing and optimizing dry etch processes for NAND technology, collaborating with teams, and conducting research while maintaining pilot manufacturing lines.

The Staff I4.0 Product Owner will lead the development of smart manufacturing solutions, bridge cross-functional teams, and leverage data science to optimize operations. Responsibilities include defining product roadmaps, managing requirements, collaborating on data science solutions, and communicating effectively across teams.

The Senior Product Owner will lead smart manufacturing solutions and apply AI and machine learning in Micron's processes, requiring semiconductor experience.

The role involves developing and optimizing dry etch processes for NAND products, collaborating on solutions, conducting failure analysis, and maintaining pilot manufacturing lines.

The role involves collaborating with data scientists, engineers, and stakeholders to implement AI-based solutions, track impacts, and identify cost opportunities in smart manufacturing.

The Senior/Staff Engineer will develop and optimize dry etch processes for NAND technology, collaborate with teams, conduct analysis, and maintain pilot manufacturing lines.

Lead data science initiatives, including project scoping, model development, and team training. Drive impactful data-driven business decisions.

As an intern, apply data analytics and machine learning to analyze semiconductor data, build models, and communicate insights to teams.

This role involves leading strategic consulting engagements in financial services, managing projects, business development, and mentoring junior consultants while driving Sia's growth in the sector.

Lead and manage a team of Partner Solutions Architects, providing technical guidance to consultative partners, driving customer success, and enhancing partner engagement with the Databricks platform.

The Head of Data Science will lead the data science team across Southeast Asia, focusing on credit risk model development, strategic collaboration, and shaping the machine learning roadmap.

Lead the implementation and maintenance of AI agent applications, enhance performance, manage lifecycle, and ensure compliance with regulatory standards while coordinating cross-functional teams for operational excellence.

The Principal Expert leads the data science strategy for MSAT, establishes best practices, delivers high-impact initiatives, and mentors teams in a regulated environment.

The role involves leading data-driven projects to optimize industrial processes, manage a data science team, and ensure effective stakeholder engagement for innovation.

The Director of AI is responsible for solving complex AI challenges, exceeding client expectations, leading AI teams, and fostering ethical AI practices. They will create thought leadership and manage AI solutions from conception to commercialization while building client relationships and partnerships.

The Senior Product Manager will develop and scale the crypto exchange, enhance customer engagement through reporting tools, and collaborate with teams to deliver market-leading product features.

The AI Deployment Engineer works with strategic startups to optimize AI systems, improve workflows, and deliver insights for product and model enhancements. Responsibilities include prototyping, debugging, and community engagement while requiring strong software engineering skills and effective communication.