Forecasting Data Scientist: Service Cost Analytics

KLA; Milpitas (CA); 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 that translate complex data into actionable insights for cost management and operational decisions.

Working with Service, Engineering, Finance, and Operations teams, you will prototype lightweight AI-enabled tools and ensure insights are integrated into planning processes, driving forecasting accuracy and business impact.

Qualifications

• Master's degree 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 highly desirable.
• Experience rapidly prototyping analytical solutions using modern AI-assisted development tools.

Responsibilities

• Develop predictive models and statistical methodologies to improve service cost forecasting and business planning.
• Analyze part reliability, failure behavior, service consumption patterns, and installed base trends to identify key service cost drivers.
• Apply statistical, machine learning, reliability, and actuarial techniques to quantify uncertainty, risk exposure, and long-tail service events.
• Design scalable analytical frameworks that enable rapid assessment of reliability and cost impacts across products and technologies.
• Evaluate model performance and continuously improve forecasting accuracy through validation, experimentation, and refinement.
• Define analytical approaches for solving business problems where historical data may be incomplete, sparse, or highly variable.
• Partner closely with Service, Finance, Operations, and Engineering teams to understand business processes, planning workflows, and decision-making needs.
• Translate business challenges into analytical solutions and ensure model outputs align with operational objectives.
• Work with stakeholders to identify how predictive insights can be incorporated into forecasting, planning, cost management, and operational decision-making processes.
• Present findings, assumptions, recommendations, and business impacts to both technical and non-technical audiences.
• Prototype lightweight prototypes, analytical tools, and proof-of-concept solutions using AI-assisted development techniques to accelerate insight generation and stakeholder adoption.
• Develop simple decision-support tools that make analytical models accessible and actionable for business users.
• Identify opportunities to improve data availability, business processes, and analytical infrastructure to support future modeling capabilities.

Skills

Statistical modeling

Machine learning

Predictive analytics

Forecasting

Python

SQL

Large datasets

Stakeholder management

AI prototyping

Risk analytics

Education

Master's or PhD in Data Science / Statistics / CS / Engineering / Economics

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 that translate complex data into actionable insights for cost management and operational decisions.

Working with Service, Engineering, Finance, and Operations teams, you will prototype lightweight AI-enabled tools and ensure insights are integrated into planning processes, driving forecasting accuracy and business impact.