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Senior Software Engineer : Data Science and Analytics | Software Engineer in Computer & Softwa1

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Senior Software Engineer : Data Science and Analytics

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Location:
Irvine, CA
Description:

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high:performance analog semiconductors whose solutions are powering the wireless networking revolution.Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time. At Skyworks, you will find a fast:paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, mutual trust, and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates. Requisition ID:71966 About Business Unit: The Data Science and Analytics team is an integral part of Skyworks' Technology and Manufacturing Group, responsible for advanced technology development, central engineering, quality, manufacturing operations, sourcing, and supply chain. Our mission is to drive digital transformation across all aspects of the business. This is an exceptional opportunity to play a pivotal role in the rapidly evolving semiconductor industry. The Data Science and Analytics team is dedicated to empowering business users with cutting:edge tools and technology to facilitate information discovery and analysis. Position Summary: As a Senior Software Engineer within the Data Science and Analytics team, you will play a critical role in supporting, administering, developing, and deploying new and existing data analytics tools and technologies. These tools are designed to facilitate information discovery and analysis, with a primary focus on manufacturing data from both internal and external factories. You will collaborate closely with engineers across functional teams and locations to drive data:driven decision:making processes. Job Responsibilities: In this role, your key responsibilities will include: stylemargin:bottom:11.0px:: Developing, enhancing, testing, and deploying advanced analytics solutions. This involves creating software, scripts, templates, and other tools to continually improve information discovery and analysis capabilities for business users.: Monitoring and administering commercial and internally developed software tools, ensuring their reliability and efficiency.: Providing training and support to business users, both locally and remotely, to ensure they can effectively utilize the analytics tools.: Creating and maintaining user and administrative documentation as needed to support the tools and technologies in use.: Participating in or leading projects focused on the development and deployment of new tools and technologies for information discovery and analysis. Qualification and Education Requirements: To excel in this role, you should possess: stylemargin:bottom:11.0px:: A Masters or PhD degree in Data Science, Data Analytics, Computer Engineering, Electrical Engineering, or a related field.: A minimum of 3 years of relevant experience, demonstrating your expertise in data analytics and software development.: Strong backend programming skills using languages such as Python, Java, C++, or C.: Knowledge of software architecture, design patterns, and system design, ensuring scalable, efficient, and robust solutions.: Experience with database systems like PostgreSQL, MongoDB, or similar.: Proficiency in writing Unit tests and Integration tests to ensure software quality.: Familiarity with Agile methodologies and the Scrum development process. Preferred Skills: While not mandatory, the following skills and experiences would be highly advantageous: stylemargin:bottom:11.0px:: Frontend development experience using technologies like Nod
Posted:
May 1 on Tip Top Job
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