Data Science Scientist 2

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Company Description At Western Digital, our vision is to fuel global innovation and push the limits of technology to make the seemingly impossible, possible. In essence, Western Digital is a team of problem solvers. Given the appropriate technology, people can accomplish astonishing feats. We've been doing precisely that for many years. Our technology supported the mission that put a man on the moon. We work closely with some of the world's largest and fastest-growing organizations. Whether it's energizing the most competitive gaming platforms, enabling systems to make cities safer and vehicles smarter and more connected, or powering the data centers behind many of the world's biggest companies and the public cloud, Western Digital is powering a brighter, more intelligent future. Have you binge-watched any shows, used social media, or shopped online recently? You'll find Western Digital supporting the storage infrastructure behind many of these platforms. And, remember that flash memory card that captures and preserves your most precious moments? We're behind that, too. We offer a broad array of technologies, storage devices, and platforms for businesses and consumers alike. Our data-centric solutions are made up of the Western Digital®, G-Technology™, SanDisk®, and WD® brands. Today's extraordinary challenges require your unique skills. You & Western Digital. Together, we are the next BIG thing in data. Job Description The Data Science team leads an in-house SMART factory implementation. The selected candidate will join a dynamic team that works closely with factory operations, engineering, and the platform development team to deliver the factory of the future. This is a unique opportunity to join Western Digital's Industry 4.0 journey and revolutionize the way technology is utilized. Responsibilities: - Design AR assets, code, enhance the User Interface & User Experience for end-users, along with providing support and ongoing maintenance. - Create custom AR (Augmented Reality) experiences for enterprise use cases & set up virtual environments for a wide range of AR scenarios. - Research and develop scalable computer vision and machine learning solutions for complex issues. - Collaborate in cross-functional teams to integrate image analytics algorithms and software, as well as develop system prototypes. - Develop and deploy supply chain optimization systems into the manufacturing environment using Operation Research and discrete event simulation. - Use data mining techniques in mathematics, statistics, information technology, machine learning, deep learning, data engineering, visualization, etc., to discover insightful patterns. - Analyze large-scale structured and unstructured data; integrate deep-dive analysis and machine learning / AI models into the application or with any pre-existing systems; demonstrate successful use cases and wins to drive business value. - Continually learn the most advanced technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs. Qualifications: - Master's or Bachelor's Degree in Computer Science, Data Science, Computer Engineering, Information Technology, or a relevant work experience and education background. - We will also consider applicants with an equivalent combination of education, technical expertise, training, or work experience. - Preferably at least 1-2 years of working experience in a related field. - Fresh graduates are also encouraged to apply. Skills: - Required: Python, Tensorflow framework, Augmented Reality, Computer Vision. - Optional: Chatbot (added advantage) with NLP, NLU. - Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab, SPSS, Enterprise Miner, Enterprise Guide, SAS coding. - Practical experience in the application of ML and Deep Learning algorithms. - SQL, Relational databases, Big Data platforms, AWS Redshift, etc. - Some experience with web front-end development: HTML/CSS, JavaScript, (jQuery or Angular preferred). - Ability to learn quickly and become productive on new technologies, APIs, development languages, and frameworks. 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 that 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. NOTICE TO CANDIDATES: Western Digital has received reports of scams where a payment is requested on Western Digital's behalf as a condition for receiving an offer of employment. Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [email protected].