Data Science

Rockerbox is seeking a Data Scientist to support development and deployment of multi-touch attribution models from start to finish. This involves all aspects of modeling: managing data collection, database processing, building models, deploying the model to online interactive platform, running scenario optimization studies, work closely with project/account managers, and present the results both to internal audience as well as clients. Other responsibilities of the role involve performing ad hoc modeling and analysis, further development of Rockerbox modeling platform, development of advanced marketing attribution and optimization algorithms, and participation in new product development and R&D initiatives at Rockerbox

About You:
  • Degree in a quantitative field (Mathematics, Statistics, Operations Research, Economics, etc.)
  • Very hands on coding skills. Python, SQL.
  • Equally capable of working autonomously and as a member of a team

Benefits
  • Work in a small, dynamic team
  • Healthcare Insurance: health, dental, vision
  • Paid time off: choose your own schedule!
  • Competitive salaries
  • Get your own equipment & customize your setup
  • Opportunities to give back to the open-source developer community

About Rockerbox
Rockerbox is developing enterprise-class marketing attribution software that is intuitive and easy for any business. We collect, cleanse and standardize data about a company’s marketing touchpoints, offline & online advertising, purchase orders, customer data and more. We then use machine-learning to apply custom models on top of the data to help companies analyze the effectiveness of their marketing and health of their business. Rockerbox works with some of today’s leading brands, such as Blue Apron, Glossier, MakeSpace, Rothy's and One Kings Lane.

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