Data Scientist: AI, Big Data & Cloud

Micron Memory Malaysia Sdn Bhd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks a Data Scientist to analyze diverse data, build predictive models, and deliver actionable insights. You will collaborate with Data Engineers, UX teams and product groups to identify questions, run experiments, and develop scalable data solutions.

The role emphasizes end-to-end model deployment, data cleansing, and visualization using modern tools. Strong communication and the ability to work across teams are essential.

Qualifications

• Degree in Computer Science, Mathematics, Statistics, Data Science or related field.
• Strong statistical modeling, analytics, and ML knowledge.
• SQL and data cleansing, outlier handling, missing data techniques.
• Experience with data visualization tools (Tableau, PowerBI) and UI/UX friendly dashboards.
• Proficiency in Python and related programming skills.
• Excellent communication and ability to convey insights to non-technical audiences.
• Ability to work independently and with diverse teams.
• Experience with cloud platforms and web development is a plus.

Responsibilities

• Design and implement methods to consolidate and analyze diverse big data sources for insights.
• Collaborate with product and service teams to identify analytical questions.
• Develop code to cleanse, integrate, and evaluate large datasets from multiple sources.
• Deploy data science models end-to-end including maintenance and monitoring.
• Extract insights from data and communicate findings to stakeholders.

Skills

SQL

Python

Data Visualization

UI/UX frameworks

Machine Learning

Education

Degree in CS/Math/Stats/Data Science

Tools

Tableau

PowerBI

Streamlit

React/Angular

Job description

Micron Technology, Inc. in Singapore seeks a Data Scientist to analyze diverse data, build predictive models, and deliver actionable insights. You will collaborate with Data Engineers, UX teams and product groups to identify questions, run experiments, and develop scalable data solutions.

The role emphasizes end-to-end model deployment, data cleansing, and visualization using modern tools. Strong communication and the ability to work across teams are essential.