APTD Senior Data Scientist
MSB, Singapore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild code and algorithms to cleanse, integrate and evaluate large datasets from multiple sources
Deploy data science models and lead their life cycle, including maintenance and monitoring
Identify insights from large data sources and communicate findings to product and business managers
Work with product and service teams to define questions and issues for data analysis and experiments
From the employer’s posting
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, 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.
Interact with product and service teams to identify questions and issues for data analysis and experiments.
What you’ll bring
All qualificationsCore experience
- Degree or equivalent experience in Computer Science, Statistics, Data Science or related fields.
- Experience in semiconductor yield analysis & process optimization (e.g analyzing FDC or SPC or Probe data)
- Experience in High Bandwidth Memory (HBM) process.
- Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
- Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP)
- Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL.
Preferred experience
- Proficiency with web development such as Angular, FastAPI, Docker.
- Experience working with and applying generative AI and large language models (LLMs).
Qualification wording
Degree or equivalent experience in Computer Science, Statistics, Data Science or related fields. with minimum of 3 years' experience in data science roles.
Experience in semiconductor yield analysis & process optimization (e.g analyzing FDC or SPC or Probe data)
Experience in High Bandwidth Memory (HBM) process.
Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP)
Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL.
Proficiency with web development such as Angular, FastAPI, Docker.
Experience working with and applying generative AI and large language models (LLMs).
Tools in this posting
- Python
- SQL
- Docker
- GCP
- FastAPI
Source — Tool mentions in context
- Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP) - Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL. - Excellent communication and presentation skills, able to effectively convey complex data insights to non-technical audiences.
- Experience in High Bandwidth Memory (HBM) process. - Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. - Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP)
Preferred Qualifications - Proficiency with web development such as Angular, FastAPI, Docker. - Experience working with and applying generative AI and large language models (LLMs).
- Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. - Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP) - Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL.
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 3 days ago
- Recorded sightings
- 10
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on micron.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
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, 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.
Minimum Qualifications
- Degree or equivalent experience in Computer Science, Statistics, Data Science or related fields. with minimum of 3 years' experience in data science roles.
- Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.
- Experience in semiconductor yield analysis & process optimization (e.g analyzing FDC or SPC or Probe data)
- Experience in High Bandwidth Memory (HBM) process.
- Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
- Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP)
- Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL.
- Excellent 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.
- Proven ability to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.
Preferred Qualifications
- Proficiency with web development such as Angular, FastAPI, Docker.
- Experience working with and applying generative AI and large language models (LLMs).
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
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.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
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MSB, Singapore
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