Senior Engineer, Automation Development Engineering

The Early Career Talent (ECT) - Data Analytics / Computer Science (Masters Level) will join Western Digitals Head Backend Business Unit under the BEST Program. This THO-based role carries elevated expectations reflecting graduate-level expertise in data science machine learning or advanced analytics applied to a precision manufacturing context. 

The ECT will drive substantive analytics initiatives -- including predictive modeling advanced process monitoring and automation of data workflows -- within the slider processing and HGA assembly engineering environment at THO. 

Reporting to the Head Backend Engineering organization the ECT is expected to bring independent research capability and contribute to data infrastructure and intelligence projects that directly impact yield quality and operational efficiency. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Developing predictive models and advanced statistical analyses for process yield and defect prediction 
• Building scalable data pipelines and analytics platforms for engineering use 
• Leading applied analytics projects in Phase 2 of the BEST Program with mentor oversight 
• Partnering with manufacturing and process engineers to embed data-driven methodologies into daily operations 
• Contributing to automation of data collection reporting and anomaly detection 
• Preparing and presenting technical findings to engineering leadership including cross-site reviews

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding mentorship and development curriculum

Qualifications :

REQUIRED: 

We warmly welcome fresh graduates of a Masters degree and Early Career Talent with 02 years of experience are encouraged to apply.

• Currently pursuing or recently completed a Masters degree in Data Science Computer Science Statistics Applied Mathematics Engineering with advanced analytics/AI specialization or equivalent experience
• Fresh graduate or maximum 2 years post-graduate experience 
• Advanced proficiency in Python R and/or SQL 
• Demonstrated experience in machine learning predictive modeling or advanced statistical analysis 
• Research or thesis experience with data-driven methodology 

PREFERRED: 

• Thesis or published research in ML AI process analytics or manufacturing intelligence 
• Experience with big data platforms cloud analytics (AWS Azure GCP) or edge computing 
• Knowledge of time-series analysis anomaly detection or sensor data analytics 
• Familiarity with manufacturing execution systems (MES) or industrial IoT data 
• Experience building end-to-end ML pipelines (data ingestion to model deployment) 

SKILLS: 

• Advanced machine learning and statistical modeling (supervised unsupervised time-series) 
• Strong Python/R programming with software engineering discipline (version control documentation) 
• Data architecture and pipeline development 
• Ability to translate complex models into operational recommendations 
• High analytical rigor and independent thinking 

Additional Information :

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Remote Work :

No

Employment Type :

Full-time