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Urgent! Supply Chain Service Data Scientist Job Opening In Ann Arbor – Now Hiring KLA
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
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.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.
KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment.
Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA.
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KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.
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Unlock Your Supply Chain Potential: Insight & Career Growth Guide
Real-time Supply Chain Jobs Trends in Ann Arbor, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Supply Chain in Ann Arbor, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 8224 jobs in United States and 6 jobs in Ann Arbor. This comprehensive analysis highlights market share and opportunities for professionals in Supply Chain roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! KLA is currently hiring and seeking a Supply Chain Service Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Supply Chain Service Data Scientist Jobs Ann Arbor.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at KLA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Supply Chain Service Data Scientist Jobs United States varies, but the pay scale is rated "Standard" in Ann Arbor. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Supply Chain Service Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Supply Chain Service Data Scientist interview at KLA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the KLA's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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