Data Scientist Jobs in Singapore

Data Scientists at Cubist Systematic Strategies, an affiliate of Point72, transform raw market data into predictive models that drive systematic trading across equities, futures, and FX. Working closely with quantitative researchers, you’ll analyze data, engineer features, and validate models to enhance trading strategies. The role offers exposure to a full trading pipeline and opportunities for career progression into senior research positions.

Micron Technology seeks a Data Scientist to join Engineering Tool Development group. The role focuses on computer vision, image processing, and machine learning to solve engineering problems across manufacturing.

Co-Development Business Unit at Activate Interactive is focused on delivering AI-driven solutions for Singapore Government Agencies. As a Data Scientist you will develop generative AI models, build backend APIs, and create frontend interfaces to deploy AI products that drive business value across investment promotion and industry development.

Thales Solutions Asia’s Data Science team in Singapore builds robust data platforms powering analytics, AI, and next‑generation inflight digital services within the Thales In‑Flyt Experience ecosystem. The role designs and maintains scalable ETL pipelines, data architectures, and observability frameworks across edge and cloud, enabling secure, high‑performance data solutions for AI/ML use cases.

Data Scientist at Razer will drive agentic AI systems for gaming and platform experiences. Working in the Agentic AI Pod, you’ll design, build, and scale autonomous and semi‑autonomous AI agents that combine large language models, retrieval systems, fine‑tuned models, and tool orchestration.

Activate Interactive is a technology consultancy focused on delivering impactful mobile, web, and cloud solutions. As a Data Scientist you will develop generative AI and machine learning models, build backend APIs and AI‑powered front‑ends, and maintain deployed solutions to drive measurable outcomes for clients.

Co-Development Business Unit at Activate Interactive builds AI-driven solutions for Singapore Government agencies. The Data Scientist develops and deploys generative AI and machine learning models, partners with stakeholders to translate business challenges into technical solutions, and maintains APIs and front‑end interfaces for AI products.

Data Scientist at Hewlett Packard Enterprise transforms structured and unstructured data into actionable insights for clients. The role builds and validates predictive models, performs exploratory data analysis, and creates visualizations to communicate findings.

Smart Manufacturing & AI team at Micron builds data‑driven solutions to boost semiconductor yield and quality. The role develops predictive ML models, designs agentic AI workflows, and productionizes analytical pipelines for high‑volume manufacturing.

Data Scientist at Micron’s Fab 10N/X team, driving AI-driven manufacturing insights. Build computer vision and deep‑learning models to detect defects, optimize production, and integrate multimodal data.

Micron’s Data Science team at MSB, Singapore builds predictive models and AI‑enabled tools to accelerate memory and storage innovation. The role designs, develops, and deploys data pipelines and machine learning models, collaborating with product, engineering, and UX teams to translate insights into product improvements.

Technology team at AvePoint builds AI-driven data solutions for enterprise customers. The Data Scientist collaborates with business users to define use cases, develops generative AI models and backend APIs, and maintains deployed services while also creating user-facing interfaces.

Data Science team at Jabil builds AI/ML models to optimize product development and manufacturing processes. The Data Scientist leads AI/ML cases, conducts data analysis, supports model training and deployment, and educates teams on generative AI and computer vision.

Applied Materials is a global leader in materials engineering solutions for semiconductor and display manufacturing. Seeking a Data Scientist to design and develop program methods, analyze structured and unstructured big data, perform statistical and data‑mining analysis using R, SAS, MATLAB, SQL, PHP, Python, build analytical models, algorithms, automated processes, and communicate insights to product and service teams.

Micron Technology Data Science team drives innovative memory and storage solutions by applying advanced analytics and machine learning to enable AI and 5G applications. The Senior Data Scientist develops predictive models, analyzes large datasets, and collaborates with cross‑functional engineers to translate insights into product improvements.

Data Scientist role at Dropbox (Ats) focuses on leveraging large-scale data to drive product decisions and improve user experience. Candidates will analyze complex datasets, build predictive models, and collaborate with cross-functional teams across engineering, product, and design.

Data Scientist role at BioRender focuses on building predictive models and analyzing large datasets to drive product decisions. The position requires strong programming skills, statistical knowledge, and experience with machine learning frameworks.

Micron Technology seeks a Data Scientist to join its Smart Manufacturing and Artificial Intelligence team at Fab 10A in Singapore. The role focuses on building digital twin solutions for semiconductor fabs, leveraging advanced analytics, machine learning, and simulation tools.

Micron Technology seeks a Data Scientist to analyze large semiconductor manufacturing datasets, build ML models, and support digital transformation. The role involves data extraction, cleaning, pipeline development, and collaboration across teams to improve production efficiency and yield.

Data Scientist role at Manulife Financial’s AI Centre of Excellence in Singapore focuses on designing and deploying AI and machine learning solutions across the insurance value chain. The position requires leading cross‑regional projects, building predictive and prescriptive models, and translating complex business problems into actionable analytics.