Top Data Jobs in Singapore

The Enterprise Account Executive, Acquisition role focuses on developing a sales strategy within a territory for new customer acquisition, meeting sales targets, and collaborating with Solutions Architects and Professional Services teams.

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

As a Data Science Engineer, you'll analyze big data, develop models, deploy solutions, and communicate insights to improve products and services.

The Data Scientist will analyze large datasets, develop AI applications, and collaborate with cross-functional teams to create innovative solutions. Responsibilities include building computer vision systems, deploying deep learning models, and integrating AI tools for operational improvements.

Lead analytics for regulatory reports, standardize data usage, build test frameworks, analyze data anomalies, and mentor colleagues in compliance domains.

As a Senior Data Scientist in Analytics (Risk & Compliance), you will lead analytics projects, ensure robust data foundations, and collaborate cross-functionally to improve regulatory compliance and risk oversight.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

The Engineering Director will lead software engineering teams, set technical direction, ensure product quality, and foster innovation and collaboration.

As a Staff/Senior Data Scientist, you will analyze complex data sets to drive product improvements, collaborate with cross-functional teams, and communicate insights to influence strategy. Your role requires strong quantitative expertise and experience in data analysis and statistical methods.

The Staff Data Scientist will optimize semiconductor manufacturing processes through data analysis, statistical modeling, and data visualization, collaborating closely with engineering teams.

As a Consultant, you'll develop data strategies and optimize data operations for clients in Financial Services or Insurance, overseeing projects and ensuring effective communication with stakeholders.

Lead the Realtime Data Platform to define a 1-3 year roadmap, modernize data infrastructure for real-time analytics at petabyte scale, enable data-driven product features, scale and mentor engineering teams, and act as a trusted advisor on Data and AI architecture, governance, and observability.

Design and evolve a governed data, knowledge, and skills platform for analytics and AI agents. Lead data modelling, regional data localisation, semantic layer and metric-store design, agent APIs, and Governance-as-Code to ensure quality, lineage, and compliance across global Databricks environments.

Design and implement advanced scheduling, optimization, and simulation solutions in manufacturing to improve production metrics and drive innovation.

As a Principal Data Scientist at Micron, lead the development of smart manufacturing AI solutions, overseeing factory scheduling, optimization, and simulation to enhance operational performance.

Develop and deploy product-disposition workflows and deviation alert systems using statistical tools and ML/AI to improve yield, reliability, and quality. Build algorithms for data mining, pattern recognition, and wafer/die screening. Collaborate with Fab, design, and quality teams, mentor team members, and drive technical innovation to meet KPIs like quality, cost, cycle time, and scale.

The Director of Platform Success is responsible for accelerating platform adoption and business transformation across APAC, ensuring alignment with global strategies while delivering measurable outcomes for regional growth.

Design, build, and productionize GenAI and ML solutions for semiconductor engineering: large-scale data pipelines, LLM/RAG and agentic workflows, model training/inference, analytics, deployment, monitoring, and cross-functional collaboration to improve quality, cost, and engineering productivity.

Join Micron as a Data Scientist to apply data analysis and machine learning expertise toward innovations in memory, storage, AI, and related products. The posting emphasizes company mission, inclusion, and application process; specific role responsibilities and qualifications are not listed.

As a Data Scientist, you will analyze large datasets, develop predictive models, and improve existing tools while collaborating with teams for data analysis projects.

As a Data Scientist at Micron, you'll develop AI-driven solutions in semiconductor manufacturing, build predictive models, and communicate analytical insights to stakeholders.

The Senior Data Scientist will develop predictive models, implement machine learning solutions, optimize production processes, and mentor junior staff to enhance data-driven decision-making in semiconductor manufacturing.

The Senior Data Scientist will improve semiconductor quality through predictive models and AI solutions, mentor juniors, and communicate insights effectively.