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Data Scientist
Data ScientistSkyworks • Irvine, CA, US
Data Scientist

Data Scientist

Skyworks • Irvine, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_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 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: 76982

Description

Skyworks Solutions is seeking an early-career Data Scientist to join our Data Analytics & AI Enablement team in Irvine, CA. In this role, you’ll apply machine learning, statistics, and data engineering fundamentals to real-world problems across analog/RF design, test, and manufacturing. You’ll collaborate with experienced data scientists and engineers to build models, develop analytics, and create tools that drive measurable impact, such as improving yield and quality, detecting anomalies, and accelerating design workflows.
This role is ideal for candidates with 2-4 years of experience who are eager to learn, ship production-quality work, and grow in a highly technical, supportive environment.

Responsibilities

  • Contribute to predictive analytics for yield, quality, and reliability improvements.
  • Build and evaluate models for anomaly detection, signal classification, and regression/forecasting on time-series and high-dimensional data.
  • Prototype to production: help prepare features, training data, baselines, metrics, and documentation; assist with deployment and monitoring under guidance.
  • Partner with domain experts (RF/design/product/manufacturing) to translate business problems into data/ML solutions.

Required Experience and Skills

  • Education & Experience (one of the following):

    Master’s degree (MS/MA/MEng) in Data Science, Computer Science, Electrical Engineering, Statistics, Applied Math, or a related field with ≥1 year of relevant experience (industry or research).
    Bachelor’s degree (BS/BA) in a related field with ≥5 years of relevant professional experience.

  • Proficiency in Python and core data/ML libraries: pandas, NumPy, scikit-learn; experience with Jupyter and Git.
  • Solid understanding of statistics, model evaluation (e.g., cross-validation, calibration, ROC/PR), and feature engineering.
  • Ability to work with structured and semi-structured data, write clean, reproducible code, and explain findings to non-DS stakeholders.
    Strong communication, curiosity, and a collaborative mindset.

Desired Experience and Skills

  • Exposure to deep learning frameworks (PyTorch or TensorFlow) for time-series, signals, or tabular tasks.
  • Basic familiarity with SQL, data pipelines, and ML workflow tools (e.g., MLflow, Airflow, DVC).
  • Understanding of semiconductor/RF or electronics concepts (e.g., device/circuit behavior, test data, signal integrity). not required but a plus.
  • Experience handling large datasets (e.g., waveform/sensor data, EDA outputs) and optimizing performance.
  • Full‑stack development experience is preferred, such as building internal data/ML tools or dashboards (e.g., FastAPI/Flask, React/Vue, RESTful APIs), integrating models into services, and using Docker and basic CI/CD.
  • Experience with cloud platforms (Azure/AWS/GCP) is beneficial.

#LI-JR1

The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 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. Skyworks has different base pay ranges for different work locations in the U.S. 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 accommodations@skyworksinc.com.

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