NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
What You Will Work On
Develop and program integrated software algorithms to structure, analyze and leverage data for product and system applications
Create descriptive, diagnostic, predictive and prescriptive insights/algorithms for products and systems
Use machine learning and statistical modeling techniques like decision trees, logistic regression, and Bayesian analysis to develop and evaluate algorithms to improve product performance, quality, data management and accuracy
Translate algorithms and technical specifications into code using current programming languages and technologies
Complete programming and implement efficiencies, perform testing and debugging
Document installation and maintenance procedures
Apply deep learning technologies to create interactive experiences in areas like virtual reality, augmented reality, artificial intelligence, and robotics
Work with large-scale computing frameworks, data analysis systems and modeling environments
What You Bring
Bachelor's degree required; PhD, Master's degree, Associate's degree or High School diploma with minimum 5-7 years relevant experience accepted
Experience with machine learning and statistical modeling techniques
Programming skills and ability to translate algorithms into code
Testing, debugging and documentation skills
Knowledge of deep learning technologies
Ability to work with large-scale computing frameworks and data analysis systems
Analytical mindset and critical thinking skills
Creativity and problem-solving skills
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Retail
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