Job Location: New York, United States

Required Qualifications:

· Bachelor’s degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience

· Strong machine learning and algorithmic background with a deep understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization

· 2 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.

· Fluency with at least one data science/analytics programming language (e.g., Python, R, Julia)

Preferred Qualifications:

• Master’s degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, etc.
• Previous experience in retail is a nice to have
• Experience building & deploying ML products over GCP and/or AWS
• Strong functional programming development skills
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members and to leadership
• Open source contributions or robust GitHub portfolio

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