WHAT YOU WILL WORK ON
61 Work with business teams throughout the organization to identify complex and challenging issues to solve with data science
61 Build ML/AI prototypes in topics such as anomaly detection, demand forecast and demonstrate their benefits to product teams and business stakeholders
61 Deploy data science powered applications in our data platform and monitor their business performances
WHO WILL YOU WORK WITH
You will be reporting to the Engineering manager, you will work with Product Manager, other Engineering Team Members and with a variety of talented Nike teammates. You will be part of team that will be a driving force in building Data and Analytic solutions for Nike Technology.
WHAT YOU BRING
61 Bachelor's or master’s degree in computer science or related subject area with 6+ experience.
61 3+ years of demonstrated professional experience in Machine Learning and Data Science especially in fraud detection, risk control, anomaly detection area.
61 Working experience with machine learning and deep learning frameworks like Scikit-learn, TensorFlow, Keras, PyTorch
61 Hands on experience on productize machine learning models, like model serving, model performance monitoring, model performance evaluation, models training & validation etc..
61 Experiences in NLP, graphical computing, graphical models, GNN will be good plus.
61 Demonstrable ability to interpret, and implement methods described in research papers in machine learning, deep learning, mathematical modeling and related fields.
61 Strong understanding of data and analytics, including experience with Big Data, real time and batch data processing is preferred.
61 Experience with cloud platforms (e.g., AWS)
61 Strong problem solving and analytical mindset
61 Effective communication skills