Are you excited by the prospect of creating state-of-art algorithms to solve real world problems?
Do you like to own end-to-end business problems/metrics that directly impact the profitability of the company? Areas we are working on are diverse and include NLP, Time-Series Analysis, Deep Learning, Reinforcement learning, Recommender Systems and more. Come join a team of scientists who use machine learning and AI to help WeWork scale.
You will work with large, complex data sets to develop advanced analytical methods, mathematical modeling, and large-scale implementation strategies
You can experiment and develop machine learning algorithms for tasks including demand forecasting, elasticity calculations, and inventory optimization
You will take ownership of whole end-to-end predictive modeling projects - from data processing, training, optimization to real-time monitoring and maintenance
M.Sc / PhD in Statistics, Machine Learning, Computer Science, Operational Research, or in a highly quantitative field
5+ years of hands-on experience in predictive modeling, large data sets and related technologies
Expert level Experience in Python or R programming
Deep understand of advance theoretical statistics
Expertise in specialized areas such as NLP, Reinforcement Learning, Probabilistic Inference, Machine Learning, Information Retrieval, Recommendation Systems, Optimization.
Understanding Deep Learning methods and - an advantage
Experience in Spark - an advantage
Problem solving ability
Good communication skills, ability to work with large cross-functional teams of technical and non-technical members.