Sr. Data Scientist

Skyworks Solutions is seeking a Senior Data Scientist to drive data-driven decision making across engineering, operations, and business functions. This onsite role in Irvine, CA combines advanced analytics and machine learning with large-scale data processing to deliver scalable solutions and measurable, actionable insights. You will also have access to a benefits package that includes healthcare, retirement savings, paid time off, and eligibility for incentive and additional award programs.

The Senior Data Scientist will lead end-to-end work from problem definition through deployment and adoption, partnering with stakeholders to translate business needs into analytical solutions. The role leverages modern cloud and big data tools, along with machine learning and AI techniques including Generative AI and Large Language Models (LLMs).

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 generated 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
• Generative AI, Large Language Models (LLMs)

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
• Eligibility to participate in an incentive plan
• Certain roles may be eligible for additional awards, including recognition and stock

Compensation: USD 114,400 to 220,200 per year.

Posting start date: 9/22/26. Requisition ID: 78473.