DATA SCIENTIST, SMAI

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

1100 Micron SemiAsiaOP Pte Ltd in Singapore is looking for a data analyst to design and develop innovative data solutions. The role involves programming methods to analyze diverse big data sources, collaborating with service and product teams, and deploying data science models.

Ideal candidates possess a degree in a relevant field, proficiency in Python and SQL, and experience with data visualization tools like Tableau or PowerBI, along with strong problem-solving skills.

Qualifications

• Degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or related fields.
• Foundation in statistical modeling, advanced analytics, and machine learning techniques.
• Proficiency in Python and other programming skills.

Responsibilities

• Design, develop, and program methods for data consolidation and insights.
• Interact with teams for data analysis and experiments.
• Deploy data science models and manage end-to-end lifecycle.

Skills

Data extraction using SQL

Data visualization tools

Python programming

Statistical modeling

Machine learning techniques

Interactive UI development

Project management

Communication skills

Education

Degree in Computer Science or related fields

Tools

Tableau

PowerBI

Cloud platforms (GCP, AWS)

Job description

Responsibilities

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse big‑data sources to generate actionable insights and solutions for client services and product improvement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Deploy data science models and own the end‑to‑end life cycle, including solution design, development, deployment, model maintenance and monitoring.
• Identify relevant insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
• Integrate AI‑assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement and complying with organizational standards and legal requirements.
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI‑enabled enhancements within one’s scope of work.

Qualifications

• Degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or related fields.
• Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.
• Ability to extract data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques.
• Proficiency with data visualization tools (Tableau, PowerBI, etc.) and techniques.
• Proficiency building interactive UIs using frameworks (Streamlit, React, Angular, or similar) based on UI/UX principles.
• Proficiency in Python and other programming skills.
• Excellent communication and presentation skills; able to convey complex data insights to non‑technical audiences.
• Excellent problem‑solving skills; able to work independently and collaborate effectively with diverse teams.
• Proven ability to manage multiple priorities and deliver high‑quality results in fast‑paced, dynamic environments.
• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively.

Preferred Qualifications

• Experience with cloud platforms (GCP, AWS, etc.) and/or Cloud certifications.
• Exposure to semiconductor industry.
• Experience in web development.
• Experience with generative AI and large language models (LLMs), including RAG, LLM tuning, and development of agents.
• Contributions to top‑tier conferences such as CVPR, NeurIPS, ICML, or KDD (note: this is not a research‑focused role).

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.