Data Science Leader for AI Strategy
2 days ago
Nexperia is a leading international high-tech semiconductor company with global presence and a thriving community of professionals.
We are seeking an experienced Data Science Leader to spearhead our AI strategy, focusing on developing an AI roadmap that drives business growth, revenue, cash flow, and EBIT. The ideal candidate will possess a deep understanding of AI technologies, including Deep Learning, NLP, decision automation tools, Generative AI, and Image processing.
The selected candidate will lead the AI Center of Excellence, building AI governance, ideation, evangelization, training, and implementing AI products that help achieve our strategic objectives. Key responsibilities include:
- Developing an AI roadmap for Revenue, Cost, Margin, Smart Pricing, Smart yield management, WIP management, scheduling, procurement automation, and other use cases.
- Broadening the understanding of various L2/L3 Nexperia processes in semiconductor R&D and Manufacturing.
- Driving discussions on investment and business value in steering committee meetings.
- Developing data analysis teams for key strategic KPIs and delivering solutions to bridge the gap between targets and projected actuals.
- Collaborating with the Business Solution lead team to roll out AI tools.
- Driving the Nexperia Data Literacy Program, developing content, participating in monthly data discussions, and building a strong community within the organization.
- Identifying key users and training them to create more data scientists within the organization.
- Connecting with outside universities, thought leaders, and bringing new solutions to Nexperia as an innovation partner.
We offer a competitive salary range of $180,000 - $250,000 per year, depending on experience, and a comprehensive benefits package. If you have a Graduate Engineer degree (preferably in Mechanical or Industrial engineering or computer science), Master's in mathematics, Statistics, or data science, and a minimum of 10-15 years of experience in data-related fields, particularly AI, we encourage you to apply.
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