Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Job Description

As a Data Science Intern in the Advanced Analytics Office at Western Digital, you will play a crucial role in our team focused on accelerating innovation in couple of projects related to business process optimization and manufacturing yield enhancement.
 

Responsibilities:

Project 1 – Predictive Modeling on High-Dimensional Data:

• Clean and pre-process complex structured data with various data integrity issues, ensuring data quality for modeling.
• Build and evaluate Machine Learning models for diverse tasks like classification, regression, supervised modeling, anomaly detection using high-dimensional and sparse data sets.
• Implement ML Ops best practices including data drift detection, model drift monitoring, and champion-challenger model deployment.
• Acquire minimum required knowledge of Magnetic Head Manufacturing process to be successful in the project.
• Learn and utilize an enterprise AI/ML SaaS platform for model development and deployment.

Project 2 – Fraud Detection with Graph Analytics:

• Contribute to the improvement and expansion of existing fraud detection systems.
• Develop and implement algorithms for fraud detection and analysis using graph-based approaches.
• Work with real-world fraud graphs stored in Neo4J or similar graph databases.
• Utilize Cypher query language for efficient data retrieval and manipulation within the graph database.

Qualifications

• Currently pursuing a Master's degree or PhD in Data Science, Computer Science or a related field with a graduation date between December 2024-May 2025
• Strong proficiency in Python programming, with experience in libraries such as Pandas, Scikit-learn, and either TensorFlow or PyTorch for deep learning frameworks.
• Experience with data cleaning and pre-processing techniques, ML algorithms and statistical modeling techniques.
• Proficiency in basic SQL database queries. Familiarity with data pipelines and AWS technologies, particularly Redshift, is advantageous.
• Familiarity with graph databases (e.g., Neo4j) and graph-based analysis tools, including expertise in graph query languages (e.g., Cypher).
• Understanding of basic ML Ops principles and practices.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the ability to collaborate effectively within a team.

Additional Information

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate this job will close on or before May 27, 2024. If we have not closed our search by this date, we will update this posting with a new anticipated close date.

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