Western Digital Scientist Data Science 

Belarus, Minsk Region, Папярнянскі сельскі Савет 

982884595

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

• Responsibilities

• Design AR assets, coding, enhancing the User Interface & User Experience for end user, along with providing support and ongoing maintenance.
• To create custom AR (Augmented Reality) experiences for enterprise use cases & setup virtual environments for a wide range of AR scenarios.
• 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.
• Develop and deploy supply chain optimization systems into manufacturing environment using OR (Operation Research) and discrete event simulation.
• Leverage 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; 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.

• Qualification

• 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.

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 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.