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- Design, development, evaluate and deploy innovative and highly scalable models for predictive learning- Research and implement novel machine learning and statistical approaches- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Mentor other scientists and engineers in the use of ML techniques
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
- PhD, or Master's degree and 6+ years of applied research experience
- 8+ years of building machine learning models or developing algorithms for business application experience
- Experience with neural deep learning methods and machine learning
- 7+ years of building machine learning models for business application experience
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
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