Lead Machine Learning Engineer - Supply Chain

Are you passionate about utilizing cutting-edge technology to optimize supply chain operations? Do you have a strong background in machine learning and a proven track record of leading successful projects? Then we have the perfect opportunity for you as a Lead Machine Learning Engineer at Nike!As the Lead Machine Learning Engineer for Supply Chain, you will play a critical role in driving innovation and efficiency in our global supply chain processes. You will collaborate with cross-functional teams to develop and implement machine learning solutions that improve forecasting accuracy, inventory management, and overall supply chain performance.To excel in this role, you should have a strong understanding of machine learning algorithms and techniques, as well as experience in data analysis and modeling. You should also possess strong leadership skills and the ability to communicate complex concepts to technical and non-technical stakeholders.Join us at Nike and be a part of revolutionizing the way we operate our supply chain through the power of machine learning. Apply now and take the first step towards an exciting and impactful career with us.

1. Develop and implement cutting-edge machine learning solutions to optimize supply chain operations.
2. Collaborate with cross-functional teams to identify and prioritize areas for improvement in the supply chain.
3. Lead the development and deployment of machine learning models for forecasting, inventory management, and other supply chain processes.
4. Utilize your strong understanding of machine learning algorithms and techniques to identify the best approach for solving supply chain challenges.
5. Conduct data analysis and modeling to identify patterns and trends that can be leveraged for improved supply chain performance.
6. Communicate complex machine learning concepts to both technical and non-technical stakeholders.
7. Stay updated on the latest developments and advancements in the field of machine learning and apply them to enhance supply chain processes.
8. Lead and mentor a team of machine learning engineers, providing guidance and support to help them excel in their roles.
9. Collaborate with external partners and vendors to leverage their expertise and technology for supply chain optimization.
10. Develop and maintain documentation for machine learning models and processes to ensure transparency and replicability.
11. Continuously monitor and evaluate the performance of machine learning models and make necessary adjustments to improve their effectiveness.
12. Contribute to the overall strategy and vision for utilizing machine learning in Nike's supply chain operations.
13. Represent Nike as an expert in machine learning at industry events and conferences.
14. Proactively identify potential risks and challenges in implementing machine learning solutions and develop contingency plans.
15. Embrace a continuous learning mindset and continuously expand knowledge and skills in the field of machine learning.

According to JobzMall, the average salary range for a Lead Machine Learning Engineer - Supply Chain in Beaverton, OR, USA is $120,000 - $150,000 per year. This can vary depending on the specific company, level of experience, and other factors such as bonuses and benefits.

Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.