KLA Supply Chain Service Data Scientist 

United States, Michigan, Ann Arbor 

535040439

Below is what you will be doing to drive improvements to our parts forecasting processes:

• Become a subject matter expert on our customer demand data environment:

• Understand the complexities and context around customer spare parts demand, situational factors such as customer contract entitlements, demand priority, product type, etc.

• Understand the associations of various parts and the respective products they belong to, which facilitates a mapping of where 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 any variability across the fleet

• Identify any statically 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 these customer demand rate models

• Work with demand frequency and volatility segmentation techniques to establish risk profiles for parts with unpredictable pattern

• Collaborate with other data scientists to input all the above data elements into various machine learning models designed to predict and optimize our customer experience

Preferred Qualifications:

• Manufacturing, Supply Chain, or related industry experience

Minimum Qualifications

• 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 and/or R

• Experience with statistical / regression / ML modeling

• Ability to quickly learn new/differentlanguages/technologies/etc

• Communicate technical information to management and non-technical business partners

• Ability to collaborate closely with team members and cross functional domain experts to share knowledge and interconnect solutions

or at +1-408-352-2808