Data Scientist

Bonobos is a clothing brand focused on delivering great fit, excellent customer experience, and a fun approach to menswear. Launched online in 2007 with its signature line of better-fitting men's pants, Bonobos is now the largest apparel brand ever built on the web in the United States. In 2011 Bonobos extended offline, launching Bonobos Guideshops, e-commerce stores that deliver personalized, one-to-one service to those wanting to experience the brand in person.

Bonobos is seeking a Data Scientist to optimize operational and economic inefficiencies and to create practical solutions to business problems using data and technology. The mission of the Data Science group is to champion the value of intellectual honesty and data-driven judgment in the organization. We use our data to extract signals that close the loop between our personalized physical shopping experience, our e-commerce platform, and our customers. Members of our group are mathematicians and engineers who are motivated by solving problems, flexing their creative muscles to identify opportunities for economic efficiencies, and building practical solutions that scale and address our business needs. Some of the solutions we’re working on include product recommendations, email targeting models, internal workflow optimization tools, and an intelligence layer that gives our business users the data they need to do their jobs.

* Collaborate across functional areas of our business at every level of seniority to uncover and address opportunities for scalability and economic growth * Act as a knowledge manager in the company; a highly trusted and credible resource whose technical ability is matched only by his or her judgment and communications skills * Apply exploratory data analysis, engineering techniques, and machine learning to solve high-visibility problems that take into account our business needs, our technical capabilities, and the economics of the apparel industry. * Communicate with business leaders to present results and recommenda

* Are curious, resourceful, and have a killer instinct for solving problems * Have substantial experience (2+ years) analyzing data in a professional setting * Have a strong understanding of statistics, algorithm design, machine learning, and computer programming (UNIX, SQL, Python, AWS) * Have efficient and professional communications skills, a capacity for abstract reasoning, and a desire to learn and share knowledge