Sr. Data Scientist

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 company headquartered in Irvine, California with several facilities across the globe. The Company boasts an array of products 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 a 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 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.

The typical base pay range for this role across the U.S. is currently USD $110,600 - $210,600 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Benefits include access to healthcare benefits (including a premium‑free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at View email address on click.appcast.io.

Nearest Major Market: Irvine California

Nearest Secondary Market: Los Angeles

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