Supply Chain Service Data Scientist

Description

Support the continuous optimization of our spares delivery performance : Our service supply chain supports a wide range of spare parts; from nuts and bolts to highly sophisticated optics / lasers / high precision mechanical devices / etc. While our enterprise planning system forecasts customer demand at large scale, our service Business Intelligence group is looking for a candidate that can help refine our customer forecasting for the optimal customer experience at the right investment.

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 / different languages / 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

Base Pay Range : $88,900.00 - $151,100.00 AnnuallyPrimary Location : USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to : medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

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