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.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

As a Data Scientist, you will be working on Digital Innovation projects leveraging 4IR and cutting-edge technologies. You will be collaborating with Data Science Team to design and build analytics tools/models/analytics to accelerate digital technologies adoption and unlock business value from data insights. You are required to constantly learn new front-tier technology and creatively apply/deliver solutions to support Global Ops Strategy and goals.

• Work with a team of data science professionals, and cross-functional teams to understand business problem, identify business opportunities, optimize business performance and/or improve KPIs.
• Leverage data mining techniques in mathematics, statistics, machine learning, deep learning, NLP, LLM, GenAI visualization etc. to discover insightful patterns.
• Analyze large-scale structured and unstructured data to develop AI/ML models that enhance business value and KPIs, while deriving actionable insights and communicating them to leaders for product improvement.
• Develop/take an idea to create prototype AI/ML models with intuitive interfaces, integrating with existing systems and showcasing successful use cases.
• Prepare and deliver presentations with data visualizations and business conclusions.
• Provide technical guidance and mentorship to junior team members on solution design.

REQUIRED:

• Bachelor's Degree or Master's Degree in related fields and research projects related to Analytics/Data Science with relevant industry or academia experience.
• Background in at least one programming language (e.g. Python, Java, Scala/Spark)
• Experience with SQL, Relational databases, Big Data platforms, AWS, Hadoop, Hive, Presto, and etc.
• Experience in applied statistic, practical experience in the application of AI/ML algorithms, models’ deployment and E2E model management through docker image, container and MLOps.
• Experience working with structured and unstructured data sources. Familiarity with modeling approaches and good understanding of how to deal with various datatypes, larger data sets and parallel computing problems.
• Experience in solution architecture, its technology stacks, and components.

PREFERED:

• Excellent knowledge of at least one of the following programming languages / frameworks: Python, Java, SQL, Scala/Spark
• Excellent knowledge of the AI/ML Model development, Lifecycle Management (Modelling, Integration/Deployment, Data/Model drift detection, Model retraining, etc.)
• Up-to-date knowledge and skills in recent AI/ML tools and techniques such as Deep Learning, NN, LLM, GenAI and etc.
• Knowledge of web front-end development: HTML/CSS, JavaScript  
• Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker)
• Practical experience of cloud-based solutions is a strong plus.
• Passion for Innovation, continue learning new techniques. Monitor the market for emerging technologies for adoption and work on proof of concepts then scale for full deployment.

SKILLS:

• Strong knowledge and experience with Python, or other statistical software
• Familiarity with core techniques in statistical and AI/ML e.g. regression, boosting algorithms, cross-validation, NN, LLM, GenAI and data visualization.
• Ability to deploy data science solutions in cloud analytics infrastructure and AWS.
• Ability to solve problems and provide complex solutions with limited direction.
• Analytical mind, creative problem-solving skills, and business acumen. Application understanding of AI/ML and operations research.
• Strategically focused, and results-oriented, with a growth mindset and strong dedication and passion to identify and implement improvement opportunities.
• Excellent communication and presentation skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives

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 [email protected] 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.