We are looking for an experienced individual to help grow the onsemi supply chain’s Advanced Analytics capabilities. This is an opportunity to impact a growing, $8B+ enterprise that recognizes the need to leverage modern data technologies and methods to help solve critical business problems.
You will own driving and designing our statistical demand forecast model.
- Define the AI / ML vision for onsemi’s supply chain and set a plan to achieve it.
- Work with IT, Data Science, Business Units, and other key stakeholders to deliver new solutions.
- Analyze data sets including demand forecasts, revenue forecasts, inventory, logistics planning, and supplier performance to identify patterns, trends, and opportunities for improvement.
- Design and work with IT and Data Science teams to implement a statistical model that accurately forecasts demand across thousands of customers and parts.
- Define KPIs for key AI / ML initiatives to improve demand forecasting, revenue forecasting, inventory optimization, and capacity planning.
- Utilize data visualization techniques to build dashboards in Tableau and present complex supply chain insights and recommendations to stakeholders.
- Completed a degree in supply chain, business, data science, business analytics, artificial intelligence, information systems, applied / traditional statistics, mathematics, computer science, or a related field.
- Proven experience implementing an accurate AI / ML forecasting model in the semiconductor industry.
- At least >
4 years of experience within supply chain, data science, IT, or manufacturing areas.
- Experience with supply chain concepts including demand forecasting, inventory management, and logistics.
- Familiarity with modeling techniques like time-series algorithms, linear regression, logistic regression, decision trees etc.
- Familiarity with probability distributions and risk analysis simulation techniques like Monte Carlo
Salary : onsemi is excited to share the base salary range for this position is $121,500 to$206,500 Range exclusive of fringe benefits or potential bonuses.
The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and / or consideration of internal equity of our current team members.
We also offer a competitive benefits package.
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