Note: The job is a remote job and is open to candidates in USA. Seagate Technology is a leader in advanced machine learning capabilities for semiconductor manufacturing. The Data Scientist Internship involves building and refining interpretation tools for machine learning models, analyzing model outputs, and creating visualizations to support engineering teams.
Responsibilities
• Build and refine interpretation tools for LightGBM models, including per-sample explanations and feature contribution summaries.
• Analyze model outputs to identify key drivers, inconsistencies, and signals that can guide process investigation.
• Apply causal reasoning—such as distinguishing correlated vs. influential features—to improve diagnosis and deepen understanding of model decisions.
• Create visualizations and dashboards that make model behavior understandable to engineers and operators.
• Document your methods and communicate insights to cross-functional teams to support deployment and continuous improvement.
Skills
• Ability to translate complex technical insights into clear, domain-relevant narratives for manufacturing engineers.
• Demonstrated curiosity, strong analytical thinking, and ability to drive investigations independently.
• Effective communication and collaboration skills across technical and operational teams.
• Strong experience with Python, LightGBM, and common ML libraries (scikit-learn, pandas, numpy).
• Solid understanding of model interpretability, including SHAP, feature attribution, model diagnostics, and visualization techniques.
• Familiarity with causal inference concepts and their use in understanding model behavior and real-world processes.
• Demonstrated interest in interpretable ML, LightGBM modeling, causal analysis, and decision-support systems for complex real-world processes.
• Currently pursuing a Master’s or PhD in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, or a related field, and returning for classes in Fall 2026.
• Experience building explainable AI workflows for real-world decision-support or quality engineering environments.
• Exposure to causal discovery (PC, GES, LiNGAM), counterfactual reasoning, or causal feature importance.
• Familiarity with high-volume manufacturing, statistical process control, yield improvement, or root-cause analysis.
• Hands-on experience with anomaly detection, reliability prediction, or multivariate sensor analytics.
Benefits
• Comprehensive benefits to its eligible Interns
• Medical
• Dental
• Vision
• Participation in the employee stock purchase plan
• 12 paid holidays
• A minimum of 48 hours of paid sick leave
Company Overview
• Seagate is a data storage and hardware company that offers hard disk drives (HDDs), solid-state drives (SSDs), and other storage solutions. It was founded in 1979, and is headquartered in Cupertino, California, USA, with a workforce of 10001+ employees. Its website is http://www.seagate.com.
Company H1B Sponsorship
• Seagate Technology has a track record of offering H1B sponsorships, with 26 in 2025, 26 in 2024, 51 in 2023, 77 in 2022, 68 in 2021, 77 in 2020. Please note that this does not guarantee sponsorship for this specific role.