Sr. Data Scientist

Found in: Talent US C2 - 2 weeks ago

Irvine, United States Skyworks Full time

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.

Principal Data Scientist

We are seeking a highly skilled and motivated Principal Data Scientist to join our team. This is an impactful and rewarding position and is ideal for candidates with a strong background in machine learning and data science. The successful candidate will be instrumental in applying problem-solving skills and technical expertise to real-world challenges, directly impacting the company’s business goals. This position offers a unique opportunity to transition from technical expertise to leadership and management roles. 

Key Responsibilities

Design and implement sophisticated machine learning models and algorithms. Manage the full machine learning pipeline, including data collection, preprocessing, development, evaluation, and deployment. Collaborate with cross-functional teams to integrate technical solutions into business operations. Analyze extensive datasets to identify trends and patterns, and preprocess data for enhanced model accuracy and efficiency. Proactively address complex business challenges using machine learning techniques and innovate creative solutions to improve the company’s operations. Stay current with advancements in machine learning and engage in research for new methodologies applicable to the business objectives.  Provide mentorship to junior team members and interns, display leadership qualities, and participate in strategic decision-making as part of the leadership development track.

Qualifications

Master or Ph.D. in Computer Science, Machine Learning, Statistics, or a closely related field (strongly preferred). Minimum 2 years of experience in machine learning, particularly in designing and implementing models in a production environment. Proficiency in programming languages such as Python, R, or Java, and familiarity with machine learning frameworks. Deep understanding of machine learning algorithms, data structures, and software development principles. Experience with big data technologies and cloud platforms is an advantage.

Preferred Skills

Strong analytical and problem-solving skills. Excellent communication skills, capable of conveying complex concepts to non-technical stakeholders. Ability to work independently as well as collaboratively in a team environment. Demonstrated potential for leadership and management capabilities.

Company Overview

Skyworks Solutions is a leading semiconductor design and manufacturing headquartered in Irvine, California with several facilities across the globe. The Company boasts an array of products that are integral to a variety of applications, from mobile communication to automotive and IoT solutions. At the core of Skyworks Solutions is a deep commitment to the culture of excellence and innovation, driving us to constantly redefine the boundaries of technology. 
In the role of Data Scientist at Skyworks, you will be instrumental in leveraging cutting-edge machine learning and data science methodologies to enhance our semiconductor manufacturing processes. Your expertise will be pivotal in advancing our capabilities, ensuring that Skyworks remains synonymous with innovation and quality in the rapidly evolving tech landscape. 
Join us to be a part of a dynamic team where your contributions are not just valued but are essential to shaping the future of semiconductor technology

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