Data Scientist

WeWork is the platform for creators, providing more than tens of thousands of members around the world with space, community and services that enable them to do what they love and create their life's work. Our mission is to create a world where people work to make a life, not just a living, and our own team members are central to that goal.

We are seeking a mid-level data scientist to join WeWork’s Data Science team. This sits within the Data Team, a centralized and relatively small, collaborative, and tightly-knit team whose job is support analysts and decision makers across the organization, and to support you. We want you to focus on shipping machine learning models and make a difference to the business.

* In this role, you will get to collaborate with various business and tech teams to design, implement, and roll out models—from classification and clustering to NLP and predictive modeling—that directly impact our members and our business operations. * With the rest of the data team to support you (such as with data access & cleaning, and understanding business logic and metrics), your job is to work with the business to define appropriate problems, perform advanced analytics, prototype machine learning solutions and models, and then experiment, and ultimately roll out impact data products.

* 4+ years practical experience in industry as a data scientist or similar quantitative role. * Track record of prototyping, developing, and deploying statistical and ML models. * Strong SQL skills. Experience with production transactional and data warehouse databases. (We primarily use AWS Redshift.) * Strong technical skills, especially in Python (numpy, scikit-learn, pandas etc), R, and *nix command line. * Deep knowledge of machine learning and data mining. * Superior communication and data visualization skills. You can tell a compelling story with data. * Experience working in an Agile environment **Nice to Have** * Experience with NLP * A Master’s or Ph.D. in quantitative relevant subject (such as science, computer science, statistics, or machine learning) is preferred but far more important is your proven, industry track record. **Critical Competencies for Success** * You do what you love! * You are infinitely curious. * You are a collaborative doer who can work independently to get things done. * You love to learn. Love to mentor and teach others, even better. * You thrive in a dynamic startup environment. You live KISS and embody agile. * You keep up-to-date with latest developments in the field