Principal Engineer, Data Science

1 month ago

Malaysia Western Digital Full time
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

Lead the development of innovative data science solutions to a variety of business problems.

  1. Design and implement data analysis, machine learning, and artificial intelligence algorithms.
  2. Develop and maintain prototype systems for data analysis, visualization, and predictive analytics.
  3. Collaborate with stakeholders across the organization to identify areas of opportunity for data science initiatives.
  4. Monitor and evaluate results of data science projects to ensure successful outcomes.
  5. Implement best practices for data engineering and data science processes.
  6. Provide guidance and leadership to more junior engineer in the team.
  7. Stay up-to-date on the latest trends in data science and share knowledge with the team.
Qualifications

Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or similar field with working experience at least 5years above

  1. Proficient in programming languages such as Python, with a strong understanding of relevant data science libraries and frameworks.
  2. Excellent communication and leadership skills.
  3. Proven ability to manage and mentor a diverse team.
  4. Enthusiasm for exploring and implementing the latest advancements in data science.
  5. Knowledge of the AI/ML lifecycle management and tools including EDA, Modelling, Integration/Deployment, Data/Model drift detection, Model retraining, etc
  6. Practical experience in application of ML and Deep Learning algorithms.
  7. Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
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