Skyworks Solutions
AI

Data Scientist

Skyworks Solutions · Irvine, CA, US · $91k - $177k

Actively hiring Posted 3 months ago

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 [email protected].

Tags & focus areas

Used for matching and alerts on DevFound
Ai Data Science
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.