Data Scientist - Predictive Cost Analytics & AI Prototyping

KLA; Ann Arbor Charter Township (MI); On-site; USD 85,000 - 125,000; Full time

Job summary

KLA in Milpitas, CA is seeking a Data Scientist to advance service cost analytics and forecasting capabilities. You will develop predictive models and analytical frameworks to understand costs, reliability risk, and long-term financial impact, partnering with Service, Engineering, Finance and Operations.

You'll prototype lightweight analytics tools using AI-assisted development to accelerate insights and support decision-making.

Qualifications

• Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, Actuarial Science, Economics, or a related field.
• Experience with statistical modeling, machine learning, predictive analytics, or forecasting.
• Strong programming skills in Python and SQL.
• Experience working with large and complex datasets to solve business problems.
• Familiarity with reliability engineering, survival analysis, warranty forecasting, actuarial modeling, or risk analytics is highly desirable.
• Experience rapidly prototyping analytical solutions using modern AI-assisted development tools.
• Strong communication and stakeholder management skills with the ability to connect analytical outputs to business outcomes.

Responsibilities

• Develop predictive models and analytical frameworks to forecast service costs.
• Collaborate with Service, Finance, Operations, and Engineering to translate insights for forecasting and planning.
• Prototype lightweight data tools to enable business teams to act on insights.

Skills

Data analysis

Statistical modeling

Communication

Education

Master's degree in Data Science or related field

PhD in Data Science or related field

Tools

Python

SQL

Machine Learning

Job description

KLA in Milpitas, CA is seeking a Data Scientist to advance service cost analytics and forecasting capabilities. You will develop predictive models and analytical frameworks to understand costs, reliability risk, and long-term financial impact, partnering with Service, Engineering, Finance and Operations.

You'll prototype lightweight analytics tools using AI-assisted development to accelerate insights and support decision-making.