Job Description

About our group:
The Global Quality AI/Process Control (AI/PC) team is focused on leveraging data science and machine learning to detect anomalies, improve predictive insights, and link upstream CTQs/KPIVs to reliability outcomes. We develop reproducible AI pipelines and scalable models that contribute directly to manufacturing and product reliability improvements.
About the role - you will:
Develop and test anomaly detection methods (z-score, IQR, clustering, ML-based outlier detection, time-series anomaly methods) for ORT/COH datasets.
Assist in benchmarking anomaly detection approaches against engineering rules (e.g., red/yellow dot sweeps, column swipes).
Build reproducible Python/KNIME pipelines for anomaly scoring, labeling, and classification at both head- and drive-level.
Partner with reliability engineers to link anomalies to upstream CTQs/KPIVs and propose early warning indicators.
Contribute to building MLOps-ready anomaly models that can scale across datasets (190k rows x 300+ columns per week).
What Will You Learn and Embark on at the Start?
You will start by learning Seagate's reliability and quality datasets, focusing on anomaly detection problems. Your early tasks will include prototyping statistical and machine learning-based anomaly detection methods, and working with SMEs to validate model outputs.
What You Would Ultimately Be Able to Be Proficient In?
You will develop advanced skills in anomaly detection, machine learning, and scalable data science workflows. You will gain hands-on experience with big data pipelines and MLOps practices while contributing to systematic AI deployment.
About you:

• Analytical, with strong problem-solving skills and curiosity to explore patterns in data.
• Adaptable and eager to learn advanced AI/ML methods.
• Collaborative team player with good communication skills.
• Able to work independently with large datasets.

Your experience includes:

• Currently pursuing a degree in Data Science, Statistics, Computer Engineering, or Applied Mathematics.
• Strong background in statistics and machine learning (regression, clustering, classification, anomaly detection).
• Proficiency in Python (pandas, scikit-learn, PyOD, statsmodels) or KNIME workflows.
• Understanding of time-series data analysis and anomaly scoring methods.

Location:
The Shugart site (named after Seagate's founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities
Location: Shugart, Singapore
Travel: None
About Us
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
Join us and get inspired to make a difference in the datasphere!
Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records.
Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at accommodations@seagate.com.
All Seagate jobs will remain open for a minimum of seven days.
For information on how Seagate collects and uses your personal information during the application process, please review the .

Skills Required