Job Description

Understand the business problems we are solving. Build data science capability that align with our product strategy. Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain. Build robust clustering and classification models in an iterative manner that can be used in production. Constantly think scale, think automation. Measure everything. Optimize proactively. Take end to end ownership of the projects you are working on. Work with minimal supervision. Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation. Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities. Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team. Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.