Sr. Principal Data Scientist

Skyworks Solutions; Irvine (CA); On-site; USD 136,000 - 295,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) match

Employee stock purchase plan

Paid time off

Incentive plan eligibility

Stock awards

Job summary

Skyworks Solutions in Irvine, CA seeks a Sr. Principal Data Scientist to lead end-to-end data science initiatives across engineering, operations and business functions. You will build scalable data products, deploy ML models and communicate impact to leadership.

This role requires 8+ years of experience, a strong foundation in statistics, and a proven ability to translate complex data into actionable strategies that drive measurable business value.

Qualifications

• 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.

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.

Skills

Problem solving

Analytical thinking

Communication

Presentation skills

Cross-functional collaboration

Education

Bachelor's degree

Tools

Azure

AWS

Databricks

Spark

TensorFlow

PyTorch

LLMs

Job description

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