Data Scientist 2

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

• Develop analytical solutions for insights into product quality and reliability.
• Develop automated process around data extraction, processing, engineering, analysis.
• Work with other data scientists, data engineers to strive for greater functionality of our big data platform on our advanced analytics and 4IR initiatives.
• Implement AI/ML based algorithm to solve various product quality challenges.
• Document solutions developed.
• Work with the other Data scientists to collectively integrate developed modules into larger end-end solutions. 

Qualifications

• Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics with minimum 2 years of experience.
• Knowledge of the AI/ML lifecycle management and tools, including EDA, Modeling, Integration/Deployment, Data/Model drift detection, Model retraining, etc. 
• Familiarity with core techniques in statistical and machine learning, e.g., regularized regression, time series analysis, decision trees, boosting algorithms, neural networks, clustering, and collaborative filtering. 
• Experience working with structured, semi-structured, and unstructured data sources. 
• Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker), model deployment (Dataiku). 
• Proficient in programming languages such as Python, R, and SQL (for data manipulation, cleaning, and analysis), Tableau, PowerBI or Spotfire, NumPy, Pandas, and Matplotlib for visualization. 
• Experience in developing and deploying generative AI models and large language models (LLMs). 
• Ability to define problems, generate hypotheses, develop, and test solutions, and effectively communicate complex technical concepts to non-technical stakeholders. 
• Attention to detail. 
• Ability to collaborate effectively with others to achieve project goals. 

Additional Information

All your information will be kept confidential according to EEO guidelines.