Data Scientist

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.  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 creativity and out-of-the-box 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 can change the way the world communicates.

Please access Privacy Notice for Mexico for important information on personal data and electronic communications.

Req ID: 77736

Description We are seeking a motivated and hands-on Data Scientist to join our team and help develop data-driven and AI-enabled solutions in the semiconductor domain. This role focuses on building practical machine learning applications, from proof-of-concept through production, while collaborating closely with cross-functional engineering teams.

You will work on transforming complex datasets into actionable insights, developing scalable models, and integrating AI/ML capabilities into real-world workflows and tools.

The Role Our team develops analytical and machine learning solutions that support engineering, testing, and performance optimization efforts across multiple domains. We emphasize rapid prototyping, iterative development, and close collaboration with stakeholders to ensure high-impact deliverables.

You will contribute across the full machine learning lifecycle, including data preparation, feature engineering, model development, and deployment, while helping improve and standardize MLOps practices

Responsibilities Develop, train, validate, and deploy machine learning models for real-world applications

Perform data collection, cleaning, transformation, and feature engineering on structured and unstructured datasets

Build and maintain scalable data pipelines and ETL processes using Python, SQL, and related tools

Conduct model selection, evaluation, and tuning, ensuring robustness and avoiding overfitting

Collaborate with cross-functional teams to move prototypes into production environments

Contribute to the design and implementation of end-to-end ML workflows (MLOps lifecycle)

Develop proof-of-concept solutions and iterate toward production-ready systems

Document methodologies, data sources, models, and system behavior

Participate in code reviews and promote best practices in development and deployment

Desired Experience and Skills Experience with LLM-based solutions such as RAG (Retrieval-Augmented Generation), LangChain, or agent-based systems

Familiarity with containerization technologies such as Docker

Exposure to full-stack development concepts (JavaScript, Node.js) for integrating data products into applications

Experience working with experimentation frameworks and prototyping workflows

Required Experience and Skills Strong experience with Python for data science and machine learning

Proficiency in data manipulation and analysis using Pandas, NumPy

Solid SQL skills for data extraction and transformation

Experience building and evaluating ML models using frameworks such as scikit-learn, PyTorch, or Keras

Understanding of feature engineering, model validation techniques, and performance metrics

Experience building data pipelines and ETL processes

Ability to translate business or engineering problems into data science solutions

What We Value Passion for building practical, deployable AI solutions

Ownership mindset from prototype to production

Curiosity and willingness to learn new tools and techniques

Collaboration and transparency across teams

Skyworks is proud to be an equal opportunity employer supporting diversity in the workplace.