Senior Data Scientist

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading semiconductor company in Singapore is seeking a Senior Data Scientist to leverage mathematics and statistics to extract actionable insights from complex datasets. You will design and develop software solutions, analyze big data, and support product improvements. Ideal candidates should have a strong background in data science, machine learning, and proficiency in programming languages such as Python. Excellent communication skills and experience with cloud platforms are essential for this role.

Qualifications

• Minimum of 2 years of experience in data science or related roles.
• Experience with Semiconductor process or manufacturing data analysis.
• Ability to extract data from different databases using SQL.

Responsibilities

• Design and develop methods to analyze diverse big data sources.
• Deploy data science models and manage the end-to-end life cycle.
• Communicate insights to product, service, and business managers.

Skills

Statistical modeling

Data visualization

Python

Cloud platforms

Communication skills

Problem-solving

Education

Degree in Computer Science, Mathematics, Statistics, Data Science or related fields

Tools

Tableau

PowerBI

SQL

Docker

Angular

FastAPI

Google Cloud Platform (GCP)

Job description

As a Senior Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Primary Responsibility, but not limited to

• 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 lead the end-to-end life cycle, including solution design shaker, development, deployment, model maintenance and monitoring.

• Identify relevant insights from large data and metadata sources; interpret and communicate insights from analysis and experiments to product, service, and business managers.

Minimum Qualifications

• Degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or related fields.

• Minimum of 2 years' experience in data science or تشغيلت related roles.

• Minimum of 2 years of Semiconductor process, High Bandwidth Memory process, process control or manufacturing data analysis experience.

• Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.

• Experience in applying deep learning / traditional computer vision approach to image analytics.

• Minimum of 1 to 2 years experience with cloud platforms such as Google Cloud Platform (GCP).

• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.

• Proficiency with data visualization tools (Tableau, PowerBI etc) and techniques.

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• Proficiency with web development such as Angular, FastAPI, Docker.

• Proficiency in Python.

• Superb communication and presentation skills, able to effectively convey complex data insights to non-technical audiences.

• Excellent problem-solving skills.

• Able to work independently and collaborate effectively with diverse teams.

Preferred Qualifications

• Experience working with and applying generative AI and large language models (LLMs) in various areas such as image generation.

• Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role).

• Experience in deploying ML models into production and optimizing for performance and scalability.

• Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.

  Interacts with product and service teams to identify questions and issues for data analysis and experiments.

  Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

  Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.