Supply Chain Service Data Scientist at KLA

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Electronics, ManufacturingIndustries

Requirements

Manufacturing, Supply Chain, or related industry experience (preferred)
Bachelor’s degree with +5 years’ work experience, OR Master’s degree with +3 years’ work experience
Educational background in Data Science, Data Analytics, IT or related field
Strong data wrangling skills to extract and craft complex data into a usable format
Strong skills with SQL, Python

Responsibilities

Become a subject matter expert on customer demand data environment
Understand complexities and context around customer spare parts demand, situational factors such as customer contract entitlements, demand priority, product type, etc
Understand associations of various parts and respective products they belong to, facilitating mapping of every unit in operation
Identify problematic data records and anomalies that need to be resolved with data systems teams
Build customer demand rate models to identify variability across the fleet
Identify statistically meaningful demand rate variation across customers, product types, customer entitlements, etc. (and any combination thereof)
Build bottoms-up part forecasts across the fleet as a function of customer demand rate models
Work with demand frequency and volatility segmentation techniques to establish risk profiles for parts with unpredictable patterns
Collaborate with other data scientists to input data elements into machine learning models designed to predict and optimize customer experience

Skills

Key technologies and capabilities for this role

Data ScienceSupply Chain OptimizationAnalyticsMachine LearningStatisticsPythonSQLPerformance AnalysisOptimization Algorithms

Questions & Answers

Common questions about this position

What is the salary for the Supply Chain Service Data Scientist position?

This information is not specified in the job description.

Is this a remote position or what is the location?

This information is not specified in the job description.

What skills are required for this data scientist role?

The role requires expertise in customer demand data environments, understanding complexities like customer contract entitlements, demand priority, product type, and parts associations, identifying data anomalies, and building customer demand models.

What is the company culture like at KLA?

Life at KLA is exciting with teams thriving on tackling hard problems, focusing heavily on innovation by investing 15% of sales into R&D, and featuring expert teams of physicists, engineers, data scientists, and problem-solvers.

What makes a strong candidate for this position?

A strong candidate will be able to become a subject matter expert on customer demand data, understand spare parts demand complexities and situational factors, map parts to products, identify data anomalies, and drive improvements in parts forecasting processes.

KLA

Provides process control and yield management solutions

About KLA

KLA provides process control and yield management solutions primarily for semiconductor manufacturers. The company offers advanced inspection tools, metrology systems, and computational analytics that help manufacturers identify and fix defects during production. This process enhances the quality and reliability of electronic devices, leading to higher production yields. KLA distinguishes itself from competitors by focusing on high-precision equipment and software that are essential for defect detection in semiconductor manufacturing. The company's goal is to promote sustainability by committing to using 100% renewable electricity in its operations by 2030.

Milpitas, CaliforniaHeadquarters

1975Year Founded

IPOCompany Stage

Industrial & Manufacturing, EnergyIndustries

5,001-10,000Employees