Data Scientist

1-2 years
2 months ago 1 Applied
Job Description

Job Description


  • Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
  • Leverage data mining techniques in mathematics, statistics, information technology, machine learning, deep learning, visualization etc to discover insightful patterns.
  • Researching and developing scalable computer vision and machine learning solutions for complex problems
  • Collaborate in cross-functional teams to integrate image analytics algorithms and software, as well as develop system prototypes
  • Analyze large-scale structured and unstructured data develop deep-dive analysis and machine learning / AI models into application or integrate with any pre-existing systems demonstrate successful use cases and wins to drive business value
  • Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.



  • Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.
  • We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.
  • Preferably minimum 1-2 years of working experience in related field.
  • Fresh graduates are also encouraged to apply.


  • Required: Python, R, Tensorflow framework, Computer Vision.
  • SQL, Relational databases, Big Data platforms, AWS Redshift etc.
  • Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab, SPSS, Enterprise Miner, Enterprise Guide, SAS coding.
  • Familiarity with core techniques in statistical and machine learning e.g. regularized regression, time series analysis, tree base models, boosting algorithms, neural networks, frequentist and Bayesian inference, power calculation, clustering, collaborative filtering, NLP, cross-validation and bootstrapping, and data visualization
  • Practical experience in application of ML and Deep Learning algorithms.
  • Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
  • Ability to deploy data science solutions in cloud analytics infrastructure and AWS
  • Experience with data visualization methods
  • Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives. A great team player.
  • Self-motivated, strong ownership and ability to work independently with minimal supervision

Additional Information

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 atto 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.




tree base models
sas coding
big data platforms
solution packaging
regularized regression
enterprise miner
code versioning
cloud analytics infrastructure
power calculation
boosting algorithms
enterprise guide

Western Digital Corporation is an American computer hard disk drive manufacturer and data storage company, headquartered in San Jose, California. It designs, manufactures and sells data technology products, including storage devices, data center systems and cloud storage services.