Sr. Principal Data Scientist

The Sr. Principal Data Scientist role at Skyworks Solutions is designed for experienced leaders who apply advanced analytics and machine learning to drive data-driven decision making across engineering, operations, and business functions. The position emphasizes end-to-end delivery, scalable data solutions, and actionable insights built from large-scale structured and unstructured datasets.

Responsibilities

• Lead end-to-end data science initiatives from problem definition through deployment, adoption, and value measurement.
• Develop machine learning, statistical, optimization, and AI solutions for complex engineering and business challenges.
• Analyze large-scale structured and unstructured data to generate actionable insights and recommendations.
• Design experiments, predictive models, forecasting systems, and anomaly-detection solutions.
• Build scalable data pipelines, automated workflows, analytical tools, and reusable data products.
• Create dashboards and visualizations that support timely, data-driven decisions.
• Communicate technical findings and strategic recommendations to stakeholders and leadership.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
• 8+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
• Solid understanding of statistics, experimental design, hypothesis testing, and predictive modeling.
• Proven track record delivering data-driven solutions that produced measurable business impact.
• Experience developing, validating, and deploying machine learning and statistical models, including Regression, Classification, Clustering, Forecasting, and Anomaly Detection.
• Experience working with large-scale structured and unstructured datasets.
• Experience extracting, transforming, integrating, and analyzing data from multiple disparate sources.
• Experience collaborating with cross-functional stakeholders to translate business requirements into analytical solutions.
• Strong problem-solving and analytical skills, with the ability to influence decision-making through data insights and recommendations.
• Excellent written, verbal, and presentation skills.

Technologies

Azure, AWS, Databricks, Spark, TensorFlow, PyTorch, and Large Language Models (LLMs)

Desired Experience and Skills

• Preference for a Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
• Experience leading end-to-end data science projects from problem definition through deployment and business adoption.
• Experience defining analytics strategy and influencing organizational direction.
• Experience mentoring junior data scientists, analysts, or engineers.
• Experience in semiconductor, manufacturing, quality, supply chain, product, or engineering analytics.
• Experience applying analytics to Yield improvement, Process optimization, Quality improvement, Forecasting, Capacity planning, Root-cause analysis, and Anomaly detection.
• Experience with cloud and big data platforms such as Azure, AWS, Databricks, or Spark.
• Experience with Generative AI, Large Language Models (LLMs), and AI-assisted analytics solutions.
• Expertise with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of optimization methods, causal inference, advanced forecasting techniques, or reinforcement learning.

Benefits

• Healthcare benefits, including a premium-free medical plan option.
• 401(k) plan and company match.
• Employee stock purchase plan.
• Paid time off including vacation, sick/wellness, and parental leave.
• Incentive plan eligibility.
• Additional awards including recognition and stock for certain roles.

Role Details

• Location: Irvine, CA (onsite)
• Salary range: USD 135,900 - 295,000 per year
• Minimum experience: 8 years