Data Scientist: Service Cost Analytics & Forecasting

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

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

401(k) matching

ESPP

Job summary

KLA is seeking a Data Scientist to advance service cost analytics and forecasting capabilities. This role develops predictive models and analytical frameworks to understand costs, reliability risk, and long-term financial impact.

You will partner with Service, Engineering, Finance, and Operations to transform data into actionable insights and improve forecasting accuracy. Responsibilities include prototyping lightweight AI tools, presenting findings to diverse stakeholders, and enabling

Qualifications

• Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, Actuarial Science, Economics, or 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 desirable.
• Experience rapidly prototyping analytical solutions using AI-assisted development tools.
• Strong communication and stakeholder management skills.

Responsibilities

• Develop predictive models and statistical methodologies to improve service cost forecasting and business planning.
• Analyze reliability, failure behavior, service consumption patterns, and installed base trends to identify cost drivers.
• Apply statistical, ML, reliability, and actuarial techniques to quantify risk and long-tail events.
• Design scalable analytical frameworks for rapid assessment of impacts across products and tech.
• Evaluate model performance and improve forecasting via validation, experiments, and refinement.
• Define analytical approaches for problems with incomplete or variable historical data.

Skills

Statistical modeling

Machine learning

Python

SQL

Education

Advanced degree in Data Science / Statistics

Tools

Python (programming)

SQL (database)

Job description

KLA is seeking a Data Scientist to advance service cost analytics and forecasting capabilities. This role develops predictive models and analytical frameworks to understand costs, reliability risk, and long-term financial impact.

You will partner with Service, Engineering, Finance, and Operations to transform data into actionable insights and improve forecasting accuracy. Responsibilities include prototyping lightweight AI tools, presenting findings to diverse stakeholders, and enabling