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Application of statistics, Machine Learning, Data Mining, pattern recognition and other data analysis techniques to collect, explore, and extract insights from very large scale structured and unstructured data and summarize the results by data visualization tools to support fab operations.

DUTIES AND RESPONSIBILITIES Manage content posts for different digital media channels (FB, Instagram, LinkedIn). Collaborate with the Design Dept. to implement ideas as well as content direction. Brainstorm and propose online, offline event campaigns for users. Evaluate campaign performance by using statistics analyzing tools. Industry research (audience, competitors, ...). Other tasks assigned by the line manager.

Improve customer service experience and create engaged customers Take ownership of customers' issues and set the resolution Set a clear mission and deploy strategies focused toward that mission Develop service procedures, policies, and standards Keep accurate records and document customer service actions and discussions Analyse services statistics and compile accurate reports Mentor and develop customer services agents and nurture an environment where they can excel through encouragement and emp

1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

The SRE’s primary goals is to ensure the platform reliability, scalability, and availability. Key success metrics include system health and availability, ability to scale infrastructure quickly and appropriately, cost to run services, quality and platform health. Responsibilities: develop internal automation - monitoring, setup, statistics setup automatic systems to control infrastructure monitor live production systems health first-aid reaction to infrastructure / platform failures deal with pr

A.I. technology/application research, design and development. Machine learning, statistical training, and deep learning development. Initial, innovate, develop and introduce Intelligent Manufacturing Solutions. System analysis, design, development and integration for cross organizations/systems projects.

Managing S&OP Planners ; responsible for demand management activities with customers and products all categories to meet and beat forecast accuracy objectives by : Propose demand forecasts at multiple levels of granularity for multiple time horizons as part of a demand planning process lead by S&OP Section Head Review historical sales trends, research demand drivers, develop statistical forecast models, and evaluate forecast results to ensure high quality demand forecast Utilize a collaborative

We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well