Nike

Machine Learning Engineer - Supply Chain

Nike
Beaverton, OR, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At Nike, we are constantly pushing the boundaries of innovation to deliver the best products to our consumers. As a Machine Learning Engineer on our Supply Chain team, you will play a crucial role in leveraging advanced data analytics and machine learning techniques to optimize our global supply chain operations. With your expertise, we can continue to deliver the highest quality products while also improving efficiency and sustainability. We are looking for a highly motivated and hands-on individual with a strong background in machine learning and supply chain management. If you are passionate about using cutting-edge technology to drive real-world impact, we want you to join our team at Nike.

  1. Develop and implement machine learning algorithms and models to optimize supply chain operations.
  2. Identify opportunities for improvement and cost savings within the supply chain using data analytics and machine learning techniques.
  3. Collaborate with cross-functional teams to gather and analyze data from various sources.
  4. Design and maintain data pipelines and databases for efficient data collection and processing.
  5. Continuously monitor and evaluate the performance of machine learning models and make necessary adjustments.
  6. Stay updated on the latest advancements in machine learning and supply chain management to enhance processes and strategies.
  7. Provide technical support and guidance to team members on machine learning techniques and tools.
  8. Communicate complex technical concepts in a clear and concise manner to stakeholders.
  9. Collaborate with external partners and vendors to integrate their solutions into our supply chain.
  10. Contribute to the development and implementation of overall supply chain strategy.
  11. Ensure compliance with data privacy and security regulations.
  12. Drive a culture of innovation and continuous improvement within the team.
Where is this job?
This job is located at Beaverton, OR, USA
Job Qualifications

  • Strong Background In Computer Science And Statistics: A Machine Learning Engineer At Nike Should Possess A Solid Foundation In Computer Science And Statistics, Including Knowledge Of Data Structures, Algorithms, And Probability And Statistics. This Is Essential For Developing And Implementing Effective Machine Learning Models.

  • Experience In Supply Chain Management: The Ideal Candidate For This Role Should Have A Deep Understanding Of Supply Chain Management Processes And Techniques, Including Demand Forecasting, Inventory Optimization, And Logistics Planning. This Knowledge Will Enable Them To Identify Opportunities For Applying Machine Learning Solutions In The Supply Chain.

  • Proficiency In Programming Languages And Tools: A Machine Learning Engineer At Nike Should Be Proficient In Programming Languages Such As Python, R, And Java, As Well As Have Experience Working With Machine Learning Frameworks And Libraries Like Tensorflow And Scikit-Learn. This Expertise Is Crucial For Developing And Deploying Machine Learning Models In A Production Environment.

  • Familiarity With Data Visualization And Reporting Tools: To Effectively Communicate Insights And Results From Machine Learning Models, The Candidate Should Be Proficient In Data Visualization And Reporting Tools Such As Tableau Or Power Bi. This Skill Will Enable Them To Create Meaningful And Actionable Reports For Stakeholders.

  • Strong Problem-Solving And Critical Thinking Abilities: As A Machine Learning Engineer, The Candidate Will Be Responsible For Identifying And Solving Complex Supply Chain Problems Using Machine Learning Techniques. They Should Have Strong Problem-Solving And Critical Thinking Abilities To Approach These Challenges Systematically And Develop Innovative Solutions That Drive Business Value.

Required Skills

  • Data Analysis

  • Database Management

  • Deep Learning

  • Data Visualization

  • Natural language processing

  • Statistical modeling

  • Machine learning algorithms

  • Predictive modeling

  • Optimization techniques

  • Time series analysis

  • Programming Languages (

Soft Skills

  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Machine Learning Engineer - Supply Chain in Beaverton, OR, USA is $110,000 - $150,000 per year. This may vary depending on the specific company, industry, and level of experience of the individual.

Additional Information
Nike is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 9th, 2024
Apply BeforeJune 9th, 2026
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About Nike

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.

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